Show of Hands:Votes: Party classification:: Votes_Ensemble_cnk06
bdanalytics
Date: (Fri) Jun 10, 2016
Introduction:
Data: Source: Training: “https://inclass.kaggle.com/c/can-we-predict-voting-outcomes/download/train2016.csv”
New: “https://inclass.kaggle.com/c/can-we-predict-voting-outcomes/download/test2016.csv”
Time period:
Synopsis:
Based on analysis utilizing <> techniques,
Summary of key steps & error improvement stats:
Prediction Accuracy Enhancement Options:
- transform.data chunk:
- derive features from multiple features
- manage.missing.data chunk:
- Not fill missing vars
- Fill missing numerics with a different algorithm
- Fill missing chars with data based on clusters
[](.png)
Potential next steps include:
- Organization:
- Categorize by chunk
- Priority criteria:
- Ease of change
- Impacts report
- Cleans innards
- Bug report
- all chunks:
- at chunk-end rm(!glb_)
- manage.missing.data chunk:
- cleaner way to manage re-splitting of training vs. new entity
- extract.features chunk:
- Add n-grams for glbFeatsText
- “RTextTools”, “tau”, “RWeka”, and “textcat” packages
- Add n-grams for glbFeatsText
- fit.models chunk:
- Classification: Plot AUC Curves for all models & highlight glbMdlSel
- Prediction accuracy scatter graph:
- Add tiles (raw vs. PCA)
- Use shiny for drop-down of “important” features
Use plot.ly for interactive plots ?
- Change .fit suffix of model metrics to .mdl if it’s data independent (e.g. AIC, Adj.R.Squared - is it truly data independent ?, etc.)
- create a custom model for rpart that has minbucket as a tuning parameter
varImp for randomForest crashes in caret version:6.0.41 -> submit bug report
- Probability handling for multinomials vs. desired binomial outcome
- ROCR currently supports only evaluation of binary classification tasks (version 1.0.7)
extensions toward multiclass classification are scheduled for the next release
- fit.all.training chunk:
- myplot_prediction_classification: displays ‘x’ instead of ‘+’ when there are no prediction errors
- Compare glb_sel_mdl vs. glb_fin_mdl:
- varImp
- Prediction differences (shd be minimal ?)
- Move glb_analytics_diag_plots to mydsutils.R: (+) Easier to debug (-) Too many glb vars used
- Add print(ggplot.petrinet(glb_analytics_pn) + coord_flip()) at the end of every major chunk
- Parameterize glb_analytics_pn
- Move glb_impute_missing_data to mydsutils.R: (-) Too many glb vars used; glb_<>_df reassigned
- Do non-glm methods handle interaction terms ?
- f-score computation for classifiers should be summation across outcomes (not just the desired one ?)
- Add accuracy computation to glb_dmy_mdl in predict.data.new chunk
- Why does splitting fit.data.training.all chunk into separate chunks add an overhead of ~30 secs ? It’s not rbind b/c other chunks have lower elapsed time. Is it the number of plots ?
- Incorporate code chunks in print_sessionInfo
- Test against
- projects in github.com/bdanalytics
- lectures in jhu-datascience track
Analysis:
rm(list = ls())
set.seed(12345)
options(stringsAsFactors = FALSE)
source("~/Dropbox/datascience/R/mycaret.R")
source("~/Dropbox/datascience/R/mypetrinet.R")
source("~/Dropbox/datascience/R/myplclust.R")
source("~/Dropbox/datascience/R/myplot.R")
source("~/Dropbox/datascience/R/myscript.R")
source("~/Dropbox/datascience/R/mytm.R")
if (is.null(knitr::opts_current$get(name = 'label'))) # Running in IDE
debugSource("~/Dropbox/datascience/R/mydsutils.R") else
source("~/Dropbox/datascience/R/mydsutils.R") ## Loading required package: caret## Loading required package: lattice# Gather all package requirements here
suppressPackageStartupMessages(require(doMC))
glbCores <- 10 # of cores on machine - 2
registerDoMC(glbCores)
suppressPackageStartupMessages(require(caret))
require(plyr)## Loading required package: plyrrequire(dplyr)## Loading required package: dplyr##
## Attaching package: 'dplyr'## The following objects are masked from 'package:plyr':
##
## arrange, count, desc, failwith, id, mutate, rename, summarise,
## summarize## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, unionrequire(knitr)## Loading required package: knitrrequire(stringr)## Loading required package: stringr#source("dbgcaret.R")
#packageVersion("snow")
#require(sos); findFn("cosine", maxPages=2, sortby="MaxScore")
# Analysis control global variables
# Inputs
# url/name = "<PathPointer>"; if url specifies a zip file, name = "<filename>";
# or named collection of <PathPointer>s
# sep = choose from c(NULL, "\t")
glbObsTrnFile <- list(url = "https://inclass.kaggle.com/c/can-we-predict-voting-outcomes/download/train2016.csv"
# or list(url = c(NULL, <.inp1> = "<path1>", <.inp2> = "<path2>"))
#, splitSpecs = list(method = "copy" # default when glbObsNewFile is NULL
# select from c("copy", NULL ???, "condition", "sample", )
# ,nRatio = 0.3 # > 0 && < 1 if method == "sample"
# ,seed = 123 # any integer or glbObsTrnPartitionSeed if method == "sample"
# ,condition = # or 'is.na(<var>)'; '<var> <condition_operator> <value>'
# )
)
glbObsNewFile <- list(url = "https://inclass.kaggle.com/c/can-we-predict-voting-outcomes/download/test2016.csv")
glbObsDropCondition <- NULL # : default
# enclose in single-quotes b/c condition might include double qoutes
# use | & ; NOT || &&
# '<condition>'
# 'grepl("^First Draft Video:", glbObsAll$Headline)'
# 'is.na(glbObsAll[, glb_rsp_var_raw])'
# '(is.na(glbObsAll[, glb_rsp_var_raw]) & grepl("Train", glbObsAll[, glbFeatsId]))'
# 'is.na(strptime(glbObsAll[, "Date"], glbFeatsDateTime[["Date"]]["format"], tz = glbFeatsDateTime[["Date"]]["timezone"]))'
#nrow(do.call("subset",list(glbObsAll, parse(text=paste0("!(", glbObsDropCondition, ")")))))
glb_obs_repartition_train_condition <- NULL # : default
# "<condition>"
glb_max_fitobs <- NULL # or any integer
glbObsTrnPartitionSeed <- 123 # or any integer
glb_is_regression <- FALSE; glb_is_classification <- !glb_is_regression;
glb_is_binomial <- TRUE # or TRUE or FALSE
glb_rsp_var_raw <- "Party"
# for classification, the response variable has to be a factor
glb_rsp_var <- "Party.fctr"
# if the response factor is based on numbers/logicals e.g (0/1 OR TRUE/FALSE vs. "A"/"B"),
# or contains spaces (e.g. "Not in Labor Force")
# caret predict(..., type="prob") crashes
glb_map_rsp_raw_to_var <- #NULL
function(raw) {
# return(raw ^ 0.5)
# return(log(raw))
# return(log(1 + raw))
# return(log10(raw))
# return(exp(-raw / 2))
#
# chk ref value against frequencies vs. alpha sort order
ret_vals <- rep_len(NA, length(raw)); ret_vals[!is.na(raw)] <- ifelse(raw[!is.na(raw)] == "Republican", "R", "D"); return(relevel(as.factor(ret_vals), ref = "D"))
# as.factor(paste0("B", raw))
# as.factor(gsub(" ", "\\.", raw))
}
#if glb_rsp_var_raw is numeric:
#print(summary(glbObsAll[, glb_rsp_var_raw]))
#glb_map_rsp_raw_to_var(tst <- c(NA, as.numeric(summary(glbObsAll[, glb_rsp_var_raw]))))
#if glb_rsp_var_raw is character:
#print(table(glbObsAll[, glb_rsp_var_raw], useNA = "ifany"))
# print(table(glb_map_rsp_raw_to_var(tst <- glbObsAll[, glb_rsp_var_raw]), useNA = "ifany"))
glb_map_rsp_var_to_raw <- #NULL
function(var) {
# return(var ^ 2.0)
# return(exp(var))
# return(10 ^ var)
# return(-log(var) * 2)
# as.numeric(var)
# levels(var)[as.numeric(var)]
sapply(levels(var)[as.numeric(var)], function(elm)
if (is.na(elm)) return(elm) else
if (elm == 'R') return("Republican") else
if (elm == 'D') return("Democrat") else
stop("glb_map_rsp_var_to_raw: unexpected value: ", elm)
)
# gsub("\\.", " ", levels(var)[as.numeric(var)])
# c("<=50K", " >50K")[as.numeric(var)]
# c(FALSE, TRUE)[as.numeric(var)]
}
# print(table(glb_map_rsp_var_to_raw(glb_map_rsp_raw_to_var(tst)), useNA = "ifany"))
if ((glb_rsp_var != glb_rsp_var_raw) && is.null(glb_map_rsp_raw_to_var))
stop("glb_map_rsp_raw_to_var function expected")
# List info gathered for various columns
# <col_name>: <description>; <notes>
# USER_ID - an anonymous id unique to a given user
# YOB - the year of birth of the user
# Gender - the gender of the user, either Male or Female
# Income - the household income of the user. Either not provided, or one of "under $25,000", "$25,001 - $50,000", "$50,000 - $74,999", "$75,000 - $100,000", "$100,001 - $150,000", or "over $150,000".
# HouseholdStatus - the household status of the user. Either not provided, or one of "Domestic Partners (no kids)", "Domestic Partners (w/kids)", "Married (no kids)", "Married (w/kids)", "Single (no kids)", or "Single (w/kids)".
# EducationalLevel - the education level of the user. Either not provided, or one of "Current K-12", "High School Diploma", "Current Undergraduate", "Associate's Degree", "Bachelor's Degree", "Master's Degree", or "Doctoral Degree".
# Party - the political party for whom the user intends to vote for. Either "Democrat" or "Republican
# Q124742, Q124122, . . . , Q96024 - 101 different questions that the users were asked on Show of Hands. If the user didn't answer the question, there is a blank. For information about the question text and possible answers, see the file Questions.pdf.
# currently does not handle more than 1 column; consider concatenating multiple columns
# If glbFeatsId == NULL, ".rownames <- as.numeric(row.names())" is the default
glbFeatsId <- "USER_ID" # choose from c(NULL : default, "<id_feat>")
# glbFeatsCategory <- "Hhold.fctr" # choose from c(NULL : default, "<category_feat>")
glbFeatsCategory <- "Q109244.fctr" # choose from c(NULL : default, "<category_feat>") -> OOB performed worse than "Hhold.fctr"
# User-specified exclusions
glbFeatsExclude <- c(NULL
# Feats that shd be excluded due to known causation by prediction variable
# , "<feat1", "<feat2>"
# Feats that are factors with unique values (as % of nObs) > 49 (empirically derived)
# Feats that are linear combinations (alias in glm)
# Feature-engineering phase -> start by excluding all features except id & category &
# work each one in
, "USER_ID", "YOB", "Gender", "Income", "HouseholdStatus", "EducationLevel"
,"Q124742","Q124122"
,"Q123621","Q123464"
,"Q122771","Q122770","Q122769","Q122120"
,"Q121700","Q121699","Q121011"
,"Q120978","Q120650","Q120472","Q120379","Q120194","Q120014","Q120012"
,"Q119851","Q119650","Q119334"
,"Q118892","Q118237","Q118233","Q118232","Q118117"
,"Q117193","Q117186"
,"Q116797","Q116881","Q116953","Q116601","Q116441","Q116448","Q116197"
,"Q115602","Q115777","Q115610","Q115611","Q115899","Q115390","Q115195"
,"Q114961","Q114748","Q114517","Q114386","Q114152"
,"Q113992","Q113583","Q113584","Q113181"
,"Q112478","Q112512","Q112270"
,"Q111848","Q111580","Q111220"
,"Q110740"
,"Q109367","Q109244"
,"Q108950","Q108855","Q108617","Q108856","Q108754","Q108342","Q108343"
,"Q107869","Q107491"
,"Q106993","Q106997","Q106272","Q106388","Q106389","Q106042"
,"Q105840","Q105655"
,"Q104996"
,"Q103293"
,"Q102906","Q102674","Q102687","Q102289","Q102089"
,"Q101162","Q101163","Q101596"
,"Q100689","Q100680","Q100562","Q100010"
,"Q99982"
,"Q99716"
,"Q99581"
,"Q99480"
,"Q98869"
,"Q98578"
,"Q98197"
,"Q98059","Q98078"
,"Q96024" # Done
,".pos")
if (glb_rsp_var_raw != glb_rsp_var)
glbFeatsExclude <- union(glbFeatsExclude, glb_rsp_var_raw)
glbFeatsInteractionOnly <- list()
#glbFeatsInteractionOnly[["<child_feat>"]] <- "<parent_feat>"
glbFeatsInteractionOnly[["YOB.Age.dff"]] <- "YOB.Age.fctr"
glbFeatsDrop <- c(NULL
# , "<feat1>", "<feat2>"
)
glb_map_vars <- NULL # or c("<var1>", "<var2>")
glb_map_urls <- list();
# glb_map_urls[["<var1>"]] <- "<var1.url>"
# Derived features; Use this mechanism to cleanse data ??? Cons: Data duplication ???
glbFeatsDerive <- list();
# glbFeatsDerive[["<feat.my.sfx>"]] <- list(
# mapfn = function(<arg1>, <arg2>) { return(function(<arg1>, <arg2>)) }
# , args = c("<arg1>", "<arg2>"))
#myprint_df(data.frame(ImageId = mapfn(glbObsAll$.src, glbObsAll$.pos)))
#data.frame(ImageId = mapfn(glbObsAll$.src, glbObsAll$.pos))[7045:7055, ]
# character
# mapfn = function(Education) { raw <- Education; raw[is.na(raw)] <- "NA.my"; return(as.factor(raw)) }
# mapfn = function(Week) { return(substr(Week, 1, 10)) }
# mapfn = function(Name) { return(sapply(Name, function(thsName)
# str_sub(unlist(str_split(thsName, ","))[1], 1, 1))) }
# mapfn = function(descriptor) { return(plyr::revalue(descriptor, c(
# "ABANDONED BUILDING" = "OTHER",
# "**" = "**"
# ))) }
# mapfn = function(description) { mod_raw <- description;
# This is here because it does not work if it's in txt_map_filename
# mod_raw <- gsub(paste0(c("\n", "\211", "\235", "\317", "\333"), collapse = "|"), " ", mod_raw)
# Don't parse for "." because of ".com"; use customized gsub for that text
# mod_raw <- gsub("(\\w)(!|\\*|,|-|/)(\\w)", "\\1\\2 \\3", mod_raw);
# Some state acrnoyms need context for separation e.g.
# LA/L.A. could either be "Louisiana" or "LosAngeles"
# modRaw <- gsub("\\bL\\.A\\.( |,|')", "LosAngeles\\1", modRaw);
# OK/O.K. could either be "Oklahoma" or "Okay"
# modRaw <- gsub("\\bACA OK\\b", "ACA OKay", modRaw);
# modRaw <- gsub("\\bNow O\\.K\\.\\b", "Now OKay", modRaw);
# PR/P.R. could either be "PuertoRico" or "Public Relations"
# modRaw <- gsub("\\bP\\.R\\. Campaign", "PublicRelations Campaign", modRaw);
# VA/V.A. could either be "Virginia" or "VeteransAdministration"
# modRaw <- gsub("\\bthe V\\.A\\.\\:", "the VeteranAffairs:", modRaw);
#
# Custom mods
# return(mod_raw) }
# numeric
# Create feature based on record position/id in data
glbFeatsDerive[[".pos"]] <- list(
mapfn = function(raw1) { return(1:length(raw1)) }
, args = c(".rnorm"))
# glbFeatsDerive[[".pos.y"]] <- list(
# mapfn = function(raw1) { return(1:length(raw1)) }
# , args = c(".rnorm"))
# Add logs of numerics that are not distributed normally
# Derive & keep multiple transformations of the same feature, if normality is hard to achieve with just one transformation
# Right skew: logp1; sqrt; ^ 1/3; logp1(logp1); log10; exp(-<feat>/constant)
# glbFeatsDerive[["WordCount.log1p"]] <- list(
# mapfn = function(WordCount) { return(log1p(WordCount)) }
# , args = c("WordCount"))
# glbFeatsDerive[["WordCount.root2"]] <- list(
# mapfn = function(WordCount) { return(WordCount ^ (1/2)) }
# , args = c("WordCount"))
# glbFeatsDerive[["WordCount.nexp"]] <- list(
# mapfn = function(WordCount) { return(exp(-WordCount)) }
# , args = c("WordCount"))
#print(summary(glbObsAll$WordCount))
#print(summary(mapfn(glbObsAll$WordCount)))
# If imputation shd be skipped for this feature
# glbFeatsDerive[["District.fctr"]] <- list(
# mapfn = function(District) {
# raw <- District;
# ret_vals <- rep_len("NA", length(raw));
# ret_vals[!is.na(raw)] <- sapply(raw[!is.na(raw)], function(elm)
# ifelse(elm < 10, "1-9",
# ifelse(elm < 20, "10-19", "20+")));
# return(relevel(as.factor(ret_vals), ref = "NA"))
# }
# , args = c("District"))
# YOB options:
# 1. Missing data:
# 1.1 0 -> Does not improve baseline
# 1.2 Cut factors & "NA" is a level
# 2. Data corrections: < 1928 & > 2000
# 3. Scale YOB
# 4. Add Age
# YOB.Age.fctr needs to be synced with YOB.Age.dff; Create a separate sub-function ???
glbFeatsDerive[["YOB.Age.fctr"]] <- list(
mapfn = function(raw1) {
raw <- 2016 - raw1
# raw[!is.na(raw) & raw >= 2010] <- NA
raw[!is.na(raw) & (raw <= 15)] <- NA
raw[!is.na(raw) & (raw >= 90)] <- NA
retVal <- rep_len("NA", length(raw))
# breaks = c(1879, seq(1949, 1989, 10), 2049)
# cutVal <- cut(raw[!is.na(raw)], breaks = breaks,
# labels = as.character(breaks + 1)[1:(length(breaks) - 1)])
cutVal <- cut(raw[!is.na(raw)], breaks = c(15, 20, 25, 30, 35, 40, 50, 65, 90))
retVal[!is.na(raw)] <- levels(cutVal)[cutVal]
return(factor(retVal, levels = c("NA"
,"(15,20]","(20,25]","(25,30]","(30,35]","(35,40]","(40,50]","(50,65]","(65,90]"),
ordered = TRUE))
}
, args = c("YOB"))
# YOB.Age.fctr needs to be synced with YOB.Age.dff; Create a separate sub-function ???
glbFeatsDerive[["YOB.Age.dff"]] <- list(
mapfn = function(raw1) {
raw <- 2016 - raw1
raw[!is.na(raw) & (raw <= 15)] <- NA
raw[!is.na(raw) & (raw >= 90)] <- NA
breaks <- c(15, 20, 25, 30, 35, 40, 50, 65, 90)
# retVal <- rep_len(0, length(raw))
stopifnot(sum(!is.na(raw) && (raw <= 15)) == 0)
stopifnot(sum(!is.na(raw) && (raw >= 90)) == 0)
# msk <- !is.na(raw) && (raw > 15) && (raw <= 20); if (sum(msk > 0)) retVal[msk] <- raw[msk] - 15
# msk <- !is.na(raw) && (raw > 20) && (raw <= 25); if (sum(msk > 0)) retVal[msk] <- raw[msk] - 20
# msk <- !is.na(raw) && (raw > 25) && (raw <= 30); if (sum(msk > 0)) retVal[msk] <- raw[msk] - 25
# msk <- !is.na(raw) && (raw > 30) && (raw <= 35); if (sum(msk > 0)) retVal[msk] <- raw[msk] - 30
# msk <- !is.na(raw) && (raw > 35) && (raw <= 40); if (sum(msk > 0)) retVal[msk] <- raw[msk] - 35
# msk <- !is.na(raw) && (raw > 40) && (raw <= 50); if (sum(msk > 0)) retVal[msk] <- raw[msk] - 40
# msk <- !is.na(raw) && (raw > 50) && (raw <= 65); if (sum(msk > 0)) retVal[msk] <- raw[msk] - 50
# msk <- !is.na(raw) && (raw > 65) && (raw <= 90); if (sum(msk > 0)) retVal[msk] <- raw[msk] - 65
breaks <- c(15, 20, 25, 30, 35, 40, 50, 65, 90)
retVal <- sapply(raw, function(age) {
if (is.na(age)) return(0) else
if ((age > 15) && (age <= 20)) return(age - 15) else
if ((age > 20) && (age <= 25)) return(age - 20) else
if ((age > 25) && (age <= 30)) return(age - 25) else
if ((age > 30) && (age <= 35)) return(age - 30) else
if ((age > 35) && (age <= 40)) return(age - 35) else
if ((age > 40) && (age <= 50)) return(age - 40) else
if ((age > 50) && (age <= 65)) return(age - 50) else
if ((age > 65) && (age <= 90)) return(age - 65)
})
return(retVal)
}
, args = c("YOB"))
glbFeatsDerive[["Gender.fctr"]] <- list(
mapfn = function(raw1) {
raw <- raw1
raw[raw %in% ""] <- "N"
raw <- gsub("Male" , "M", raw, fixed = TRUE)
raw <- gsub("Female", "F", raw, fixed = TRUE)
return(relevel(as.factor(raw), ref = "N"))
}
, args = c("Gender"))
glbFeatsDerive[["Income.fctr"]] <- list(
mapfn = function(raw1) { raw <- raw1;
raw[raw %in% ""] <- "N"
raw <- gsub("under $25,000" , "<25K" , raw, fixed = TRUE)
raw <- gsub("$25,001 - $50,000" , "25-50K" , raw, fixed = TRUE)
raw <- gsub("$50,000 - $74,999" , "50-75K" , raw, fixed = TRUE)
raw <- gsub("$75,000 - $100,000" , "75-100K" , raw, fixed = TRUE)
raw <- gsub("$100,001 - $150,000", "100-150K", raw, fixed = TRUE)
raw <- gsub("over $150,000" , ">150K" , raw, fixed = TRUE)
return(factor(raw, levels = c("N","<25K","25-50K","50-75K","75-100K","100-150K",">150K"),
ordered = TRUE))
}
, args = c("Income"))
glbFeatsDerive[["Hhold.fctr"]] <- list(
mapfn = function(raw1) { raw <- raw1;
raw[raw %in% ""] <- "N"
raw <- gsub("Domestic Partners (no kids)", "PKn", raw, fixed = TRUE)
raw <- gsub("Domestic Partners (w/kids)" , "PKy", raw, fixed = TRUE)
raw <- gsub("Married (no kids)" , "MKn", raw, fixed = TRUE)
raw <- gsub("Married (w/kids)" , "MKy", raw, fixed = TRUE)
raw <- gsub("Single (no kids)" , "SKn", raw, fixed = TRUE)
raw <- gsub("Single (w/kids)" , "SKy", raw, fixed = TRUE)
return(relevel(as.factor(raw), ref = "N"))
}
, args = c("HouseholdStatus"))
glbFeatsDerive[["Edn.fctr"]] <- list(
mapfn = function(raw1) { raw <- raw1;
raw[raw %in% ""] <- "N"
raw <- gsub("Current K-12" , "K12", raw, fixed = TRUE)
raw <- gsub("High School Diploma" , "HSD", raw, fixed = TRUE)
raw <- gsub("Current Undergraduate", "CCg", raw, fixed = TRUE)
raw <- gsub("Associate's Degree" , "Ast", raw, fixed = TRUE)
raw <- gsub("Bachelor's Degree" , "Bcr", raw, fixed = TRUE)
raw <- gsub("Master's Degree" , "Msr", raw, fixed = TRUE)
raw <- gsub("Doctoral Degree" , "PhD", raw, fixed = TRUE)
return(factor(raw, levels = c("N","K12","HSD","CCg","Ast","Bcr","Msr","PhD"),
ordered = TRUE))
}
, args = c("EducationLevel"))
# for (qsn in c("Q124742","Q124122"))
# for (qsn in grep("Q12(.{4})(?!\\.fctr)", names(glbObsTrn), value = TRUE, perl = TRUE))
for (qsn in grep("Q", glbFeatsExclude, fixed = TRUE, value = TRUE))
glbFeatsDerive[[paste0(qsn, ".fctr")]] <- list(
mapfn = function(raw1) {
raw1[raw1 %in% ""] <- "NA"
rawVal <- unique(raw1)
if (length(setdiff(rawVal, (expVal <- c("NA", "No", "Ys")))) == 0) {
raw1 <- gsub("Yes", "Ys", raw1, fixed = TRUE)
if (length(setdiff(rawVal, expVal)) > 0)
stop(qsn, " vals: ", paste0(rawVal, collapse = "|"),
" does not match expectation: ", paste0(expVal, collapse = "|"))
} else
if (length(setdiff(rawVal, (expVal <- c("NA", "Me", "Circumstances")))) == 0) {
raw1 <- gsub("Circumstances", "Cs", raw1, fixed = TRUE)
if (length(setdiff(rawVal, expVal)) > 0)
stop(qsn, " vals: ", paste0(rawVal, collapse = "|"),
" does not match expectation: ", paste0(expVal, collapse = "|"))
} else
if (length(setdiff(rawVal, (expVal <- c("NA", "Grrr people", "Yay people!")))) == 0) {
raw1 <- gsub("Grrr people", "Gr", raw1, fixed = TRUE)
raw1 <- gsub("Yay people!", "Yy", raw1, fixed = TRUE)
if (length(setdiff(rawVal, expVal)) > 0)
stop(qsn, " vals: ", paste0(rawVal, collapse = "|"),
" does not match expectation: ", paste0(expVal, collapse = "|"))
} else
if (length(setdiff(rawVal, (expVal <- c("NA", "Idealist", "Pragmatist")))) == 0) {
raw1 <- gsub("Idealist" , "Id", raw1, fixed = TRUE)
raw1 <- gsub("Pragmatist", "Pr", raw1, fixed = TRUE)
if (length(setdiff(rawVal, expVal)) > 0)
stop(qsn, " vals: ", paste0(rawVal, collapse = "|"),
" does not match expectation: ", paste0(expVal, collapse = "|"))
} else
if (length(setdiff(rawVal, (expVal <- c("NA", "Private", "Public")))) == 0) {
raw1 <- gsub("Private", "Pt", raw1, fixed = TRUE)
raw1 <- gsub("Public" , "Pc", raw1, fixed = TRUE)
if (length(setdiff(rawVal, expVal)) > 0)
stop(qsn, " vals: ", paste0(rawVal, collapse = "|"),
" does not match expectation: ", paste0(expVal, collapse = "|"))
}
return(relevel(as.factor(raw1), ref = "NA"))
}
, args = c(qsn))
# If imputation of missing data is not working ...
# glbFeatsDerive[["FertilityRate.nonNA"]] <- list(
# mapfn = function(FertilityRate, Region) {
# RegionMdn <- tapply(FertilityRate, Region, FUN = median, na.rm = TRUE)
#
# retVal <- FertilityRate
# retVal[is.na(FertilityRate)] <- RegionMdn[Region[is.na(FertilityRate)]]
# return(retVal)
# }
# , args = c("FertilityRate", "Region"))
# mapfn = function(HOSPI.COST) { return(cut(HOSPI.COST, 5, breaks = c(0, 100000, 200000, 300000, 900000), labels = NULL)) }
# mapfn = function(Rasmussen) { return(ifelse(sign(Rasmussen) >= 0, 1, 0)) }
# mapfn = function(startprice) { return(startprice ^ (1/2)) }
# mapfn = function(startprice) { return(log(startprice)) }
# mapfn = function(startprice) { return(exp(-startprice / 20)) }
# mapfn = function(startprice) { return(scale(log(startprice))) }
# mapfn = function(startprice) { return(sign(sprice.predict.diff) * (abs(sprice.predict.diff) ^ (1/10))) }
# factor
# mapfn = function(PropR) { return(as.factor(ifelse(PropR >= 0.5, "Y", "N"))) }
# mapfn = function(productline, description) { as.factor(gsub(" ", "", productline)) }
# mapfn = function(purpose) { return(relevel(as.factor(purpose), ref="all_other")) }
# mapfn = function(raw) { tfr_raw <- as.character(cut(raw, 5));
# tfr_raw[is.na(tfr_raw)] <- "NA.my";
# return(as.factor(tfr_raw)) }
# mapfn = function(startprice.log10) { return(cut(startprice.log10, 3)) }
# mapfn = function(startprice.log10) { return(cut(sprice.predict.diff, c(-1000, -100, -10, -1, 0, 1, 10, 100, 1000))) }
# , args = c("<arg1>"))
# multiple args
# mapfn = function(id, date) { return(paste(as.character(id), as.character(date), sep = "#")) }
# mapfn = function(PTS, oppPTS) { return(PTS - oppPTS) }
# mapfn = function(startprice.log10.predict, startprice) {
# return(spdiff <- (10 ^ startprice.log10.predict) - startprice) }
# mapfn = function(productline, description) { as.factor(
# paste(gsub(" ", "", productline), as.numeric(nchar(description) > 0), sep = "*")) }
# mapfn = function(.src, .pos) {
# return(paste(.src, sprintf("%04d",
# ifelse(.src == "Train", .pos, .pos - 7049)
# ), sep = "#")) }
# # If glbObsAll is not sorted in the desired manner
# mapfn=function(Week) { return(coredata(lag(zoo(orderBy(~Week, glbObsAll)$ILI), -2, na.pad=TRUE))) }
# mapfn=function(ILI) { return(coredata(lag(zoo(ILI), -2, na.pad=TRUE))) }
# mapfn=function(ILI.2.lag) { return(log(ILI.2.lag)) }
# glbFeatsDerive[["<var1>"]] <- glbFeatsDerive[["<var2>"]]
# tst <- "descr.my"; args_lst <- NULL; for (arg in glbFeatsDerive[[tst]]$args) args_lst[[arg]] <- glbObsAll[, arg]; print(head(args_lst[[arg]])); print(head(drv_vals <- do.call(glbFeatsDerive[[tst]]$mapfn, args_lst)));
# print(which_ix <- which(args_lst[[arg]] == 0.75)); print(drv_vals[which_ix]);
glbFeatsDateTime <- list()
# Use OlsonNames() to enumerate supported time zones
# glbFeatsDateTime[["<DateTimeFeat>"]] <-
# c(format = "%Y-%m-%d %H:%M:%S" or "%m/%e/%y", timezone = "US/Eastern", impute.na = TRUE,
# last.ctg = FALSE, poly.ctg = FALSE)
glbFeatsPrice <- NULL # or c("<price_var>")
glbFeatsImage <- list() #list(<imageFeat> = list(patchSize = 10)) # if patchSize not specified, no patch computation
glbFeatsText <- list()
Sys.setlocale("LC_ALL", "C") # For english## [1] "C/C/C/C/C/en_US.UTF-8"#glbFeatsText[["<TextFeature>"]] <- list(NULL,
# ,names = myreplacePunctuation(str_to_lower(gsub(" ", "", c(NULL,
# <comma-separated-screened-names>
# ))))
# ,rareWords = myreplacePunctuation(str_to_lower(gsub(" ", "", c(NULL,
# <comma-separated-nonSCOWL-words>
# ))))
#)
# Text Processing Step: custom modifications not present in txt_munge -> use glbFeatsDerive
# Text Processing Step: universal modifications
glb_txt_munge_filenames_pfx <- "<projectId>_mytxt_"
# Text Processing Step: tolower
# Text Processing Step: myreplacePunctuation
# Text Processing Step: removeWords
glb_txt_stop_words <- list()
# Remember to use unstemmed words
if (length(glbFeatsText) > 0) {
require(tm)
require(stringr)
glb_txt_stop_words[["<txt_var>"]] <- sort(myreplacePunctuation(str_to_lower(gsub(" ", "", c(NULL
# Remove any words from stopwords
# , setdiff(myreplacePunctuation(stopwords("english")), c("<keep_wrd1>", <keep_wrd2>"))
# Remove salutations
,"mr","mrs","dr","Rev"
# Remove misc
#,"th" # Happy [[:digit::]]+th birthday
# Remove terms present in Trn only or New only; search for "Partition post-stem"
# ,<comma-separated-terms>
# cor.y.train == NA
# ,unlist(strsplit(paste(c(NULL
# ,"<comma-separated-terms>"
# ), collapse=",")
# freq == 1; keep c("<comma-separated-terms-to-keep>")
# ,<comma-separated-terms>
# chisq.pval high (e.g. == 1); keep c("<comma-separated-terms-to-keep>")
# ,<comma-separated-terms>
# nzv.freqRatio high (e.g. >= glbFeatsNzvFreqMax); keep c("<comma-separated-terms-to-keep>")
# ,<comma-separated-terms>
)))))
}
#orderBy(~term, glb_post_stem_words_terms_df_lst[[txtFeat]][grep("^man", glb_post_stem_words_terms_df_lst[[txtFeat]]$term), ])
#glbObsAll[glb_post_stem_words_terms_mtrx_lst[[txtFeat]][, 4866] > 0, c(glb_rsp_var, txtFeat)]
# To identify terms with a specific freq
#paste0(sort(subset(glb_post_stop_words_terms_df_lst[[txtFeat]], freq == 1)$term), collapse = ",")
#paste0(sort(subset(glb_post_stem_words_terms_df_lst[[txtFeat]], freq <= 2)$term), collapse = ",")
#subset(glb_post_stem_words_terms_df_lst[[txtFeat]], term %in% c("zinger"))
# To identify terms with a specific freq &
# are not stemmed together later OR is value of color.fctr (e.g. gold)
#paste0(sort(subset(glb_post_stop_words_terms_df_lst[[txtFeat]], (freq == 1) & !(term %in% c("blacked","blemish","blocked","blocks","buying","cables","careful","carefully","changed","changing","chargers","cleanly","cleared","connect","connects","connected","contains","cosmetics","default","defaulting","defective","definitely","describe","described","devices","displays","drop","drops","engravement","excellant","excellently","feels","fix","flawlessly","frame","framing","gentle","gold","guarantee","guarantees","handled","handling","having","install","iphone","iphones","keeped","keeps","known","lights","line","lining","liquid","liquidation","looking","lots","manuals","manufacture","minis","most","mostly","network","networks","noted","opening","operated","performance","performs","person","personalized","photograph","physically","placed","places","powering","pre","previously","products","protection","purchasing","returned","rotate","rotation","running","sales","second","seconds","shipped","shuts","sides","skin","skinned","sticker","storing","thats","theres","touching","unusable","update","updates","upgrade","weeks","wrapped","verified","verify") ))$term), collapse = ",")
#print(subset(glb_post_stem_words_terms_df_lst[[txtFeat]], (freq <= 2)))
#glbObsAll[which(terms_mtrx[, 229] > 0), glbFeatsText]
# To identify terms with cor.y == NA
#orderBy(~-freq+term, subset(glb_post_stop_words_terms_df_lst[[txtFeat]], is.na(cor.y)))
#paste(sort(subset(glb_post_stop_words_terms_df_lst[[txtFeat]], is.na(cor.y))[, "term"]), collapse=",")
#orderBy(~-freq+term, subset(glb_post_stem_words_terms_df_lst[[txtFeat]], is.na(cor.y)))
# To identify terms with low cor.y.abs
#head(orderBy(~cor.y.abs+freq+term, subset(glb_post_stem_words_terms_df_lst[[txtFeat]], !is.na(cor.y))), 5)
# To identify terms with high chisq.pval
#subset(glb_post_stem_words_terms_df_lst[[txtFeat]], chisq.pval > 0.99)
#paste0(sort(subset(glb_post_stem_words_terms_df_lst[[txtFeat]], (chisq.pval > 0.99) & (freq <= 10))$term), collapse=",")
#paste0(sort(subset(glb_post_stem_words_terms_df_lst[[txtFeat]], (chisq.pval > 0.9))$term), collapse=",")
#head(orderBy(~-chisq.pval+freq+term, glb_post_stem_words_terms_df_lst[[txtFeat]]), 5)
#glbObsAll[glb_post_stem_words_terms_mtrx_lst[[txtFeat]][, 68] > 0, glbFeatsText]
#orderBy(~term, glb_post_stem_words_terms_df_lst[[txtFeat]][grep("^m", glb_post_stem_words_terms_df_lst[[txtFeat]]$term), ])
# To identify terms with high nzv.freqRatio
#summary(glb_post_stem_words_terms_df_lst[[txtFeat]]$nzv.freqRatio)
#paste0(sort(setdiff(subset(glb_post_stem_words_terms_df_lst[[txtFeat]], (nzv.freqRatio >= glbFeatsNzvFreqMax) & (freq < 10) & (chisq.pval >= 0.05))$term, c( "128gb","3g","4g","gold","ipad1","ipad3","ipad4","ipadair2","ipadmini2","manufactur","spacegray","sprint","tmobil","verizon","wifion"))), collapse=",")
# To identify obs with a txt term
#tail(orderBy(~-freq+term, glb_post_stop_words_terms_df_lst[[txtFeat]]), 20)
#mydspObs(list(descr.my.contains="non"), cols=c("color", "carrier", "cellular", "storage"))
#grep("ever", dimnames(terms_stop_mtrx)$Terms)
#which(terms_stop_mtrx[, grep("ipad", dimnames(terms_stop_mtrx)$Terms)] > 0)
#glbObsAll[which(terms_stop_mtrx[, grep("16", dimnames(terms_stop_mtrx)$Terms)[1]] > 0), c(glbFeatsCategory, "storage", txtFeat)]
# Text Processing Step: screen for names # Move to glbFeatsText specs section in order of text processing steps
# glbFeatsText[["<txtFeat>"]]$names <- myreplacePunctuation(str_to_lower(gsub(" ", "", c(NULL
# # Person names for names screening
# ,<comma-separated-list>
#
# # Company names
# ,<comma-separated-list>
#
# # Product names
# ,<comma-separated-list>
# ))))
# glbFeatsText[["<txtFeat>"]]$rareWords <- myreplacePunctuation(str_to_lower(gsub(" ", "", c(NULL
# # Words not in SCOWL db
# ,<comma-separated-list>
# ))))
# To identify char vectors post glbFeatsTextMap
#grep("six(.*)hour", glb_txt_chr_lst[[txtFeat]], ignore.case = TRUE, value = TRUE)
#grep("[S|s]ix(.*)[H|h]our", glb_txt_chr_lst[[txtFeat]], value = TRUE)
# To identify whether terms shd be synonyms
#orderBy(~term, glb_post_stop_words_terms_df_lst[[txtFeat]][grep("^moder", glb_post_stop_words_terms_df_lst[[txtFeat]]$term), ])
# term_row_df <- glb_post_stop_words_terms_df_lst[[txtFeat]][grep("^came$", glb_post_stop_words_terms_df_lst[[txtFeat]]$term), ]
#
# cor(glb_post_stop_words_terms_mtrx_lst[[txtFeat]][glbObsAll$.lcn == "Fit", term_row_df$pos], glbObsTrn[, glb_rsp_var], use="pairwise.complete.obs")
# To identify which stopped words are "close" to a txt term
#sort(glbFeatsCluster)
# Text Processing Step: stemDocument
# To identify stemmed txt terms
#glb_post_stop_words_terms_df_lst[[txtFeat]][grep("^la$", glb_post_stop_words_terms_df_lst[[txtFeat]]$term), ]
#orderBy(~term, glb_post_stem_words_terms_df_lst[[txtFeat]][grep("^con", glb_post_stem_words_terms_df_lst[[txtFeat]]$term), ])
#glbObsAll[which(terms_stem_mtrx[, grep("use", dimnames(terms_stem_mtrx)$Terms)[[1]]] > 0), c(glbFeatsId, "productline", txtFeat)]
#glbObsAll[which(TfIdf_stem_mtrx[, 191] > 0), c(glbFeatsId, glbFeatsCategory, txtFeat)]
#glbObsAll[which(glb_post_stop_words_terms_mtrx_lst[[txtFeat]][, 6165] > 0), c(glbFeatsId, glbFeatsCategory, txtFeat)]
#which(glbObsAll$UniqueID %in% c(11915, 11926, 12198))
# Text Processing Step: mycombineSynonyms
# To identify which terms are associated with not -> combine "could not" & "couldn't"
#findAssocs(glb_full_DTM_lst[[txtFeat]], "not", 0.05)
# To identify which synonyms should be combined
#orderBy(~term, glb_post_stem_words_terms_df_lst[[txtFeat]][grep("^c", glb_post_stem_words_terms_df_lst[[txtFeat]]$term), ])
chk_comb_cor <- function(syn_lst) {
# cor(terms_stem_mtrx[glbObsAll$.src == "Train", grep("^(damag|dent|ding)$", dimnames(terms_stem_mtrx)[[2]])], glbObsTrn[, glb_rsp_var], use="pairwise.complete.obs")
print(subset(glb_post_stem_words_terms_df_lst[[txtFeat]], term %in% syn_lst$syns))
print(subset(get_corpus_terms(tm_map(glbFeatsTextCorpus[[txtFeat]], mycombineSynonyms, list(syn_lst), lazy=FALSE)), term == syn_lst$word))
# cor(terms_stop_mtrx[glbObsAll$.src == "Train", grep("^(damage|dent|ding)$", dimnames(terms_stop_mtrx)[[2]])], glbObsTrn[, glb_rsp_var], use="pairwise.complete.obs")
# cor(rowSums(terms_stop_mtrx[glbObsAll$.src == "Train", grep("^(damage|dent|ding)$", dimnames(terms_stop_mtrx)[[2]])]), glbObsTrn[, glb_rsp_var], use="pairwise.complete.obs")
}
#chk_comb_cor(syn_lst=list(word="cabl", syns=c("cabl", "cord")))
#chk_comb_cor(syn_lst=list(word="damag", syns=c("damag", "dent", "ding")))
#chk_comb_cor(syn_lst=list(word="dent", syns=c("dent", "ding")))
#chk_comb_cor(syn_lst=list(word="use", syns=c("use", "usag")))
glbFeatsTextSynonyms <- list()
# list parsed to collect glbFeatsText[[<txtFeat>]]$vldTerms
# glbFeatsTextSynonyms[["Hdln.my"]] <- list(NULL
# # people in places
# , list(word = "australia", syns = c("australia", "australian"))
# , list(word = "italy", syns = c("italy", "Italian"))
# , list(word = "newyork", syns = c("newyork", "newyorker"))
# , list(word = "Pakistan", syns = c("Pakistan", "Pakistani"))
# , list(word = "peru", syns = c("peru", "peruvian"))
# , list(word = "qatar", syns = c("qatar", "qatari"))
# , list(word = "scotland", syns = c("scotland", "scotish"))
# , list(word = "Shanghai", syns = c("Shanghai", "Shanzhai"))
# , list(word = "venezuela", syns = c("venezuela", "venezuelan"))
#
# # companies - needs to be data dependent
# # - e.g. ensure BNP in this experiment/feat always refers to BNPParibas
#
# # general synonyms
# , list(word = "Create", syns = c("Create","Creator"))
# , list(word = "cute", syns = c("cute","cutest"))
# , list(word = "Disappear", syns = c("Disappear","Fadeout"))
# , list(word = "teach", syns = c("teach", "taught"))
# , list(word = "theater", syns = c("theater", "theatre", "theatres"))
# , list(word = "understand", syns = c("understand", "understood"))
# , list(word = "weak", syns = c("weak", "weaken", "weaker", "weakest"))
# , list(word = "wealth", syns = c("wealth", "wealthi"))
#
# # custom synonyms (phrases)
#
# # custom synonyms (names)
# )
#glbFeatsTextSynonyms[["<txtFeat>"]] <- list(NULL
# , list(word="<stem1>", syns=c("<stem1>", "<stem1_2>"))
# )
for (txtFeat in names(glbFeatsTextSynonyms))
for (entryIx in 1:length(glbFeatsTextSynonyms[[txtFeat]])) {
glbFeatsTextSynonyms[[txtFeat]][[entryIx]]$word <-
str_to_lower(glbFeatsTextSynonyms[[txtFeat]][[entryIx]]$word)
glbFeatsTextSynonyms[[txtFeat]][[entryIx]]$syns <-
str_to_lower(glbFeatsTextSynonyms[[txtFeat]][[entryIx]]$syns)
}
glbFeatsTextSeed <- 181
# tm options include: check tm::weightSMART
glb_txt_terms_control <- list( # Gather model performance & run-time stats
# weighting = function(x) weightSMART(x, spec = "nnn")
# weighting = function(x) weightSMART(x, spec = "lnn")
# weighting = function(x) weightSMART(x, spec = "ann")
# weighting = function(x) weightSMART(x, spec = "bnn")
# weighting = function(x) weightSMART(x, spec = "Lnn")
#
weighting = function(x) weightSMART(x, spec = "ltn") # default
# weighting = function(x) weightSMART(x, spec = "lpn")
#
# weighting = function(x) weightSMART(x, spec = "ltc")
#
# weighting = weightBin
# weighting = weightTf
# weighting = weightTfIdf # : default
# termFreq selection criteria across obs: tm default: list(global=c(1, Inf))
, bounds = list(global = c(1, Inf))
# wordLengths selection criteria: tm default: c(3, Inf)
, wordLengths = c(1, Inf)
)
glb_txt_cor_var <- glb_rsp_var # : default # or c(<feat>)
# select one from c("union.top.val.cor", "top.cor", "top.val", default: "top.chisq", "sparse")
glbFeatsTextFilter <- "top.chisq"
glbFeatsTextTermsMax <- rep(10, length(glbFeatsText)) # :default
names(glbFeatsTextTermsMax) <- names(glbFeatsText)
# Text Processing Step: extractAssoc
glbFeatsTextAssocCor <- rep(1, length(glbFeatsText)) # :default
names(glbFeatsTextAssocCor) <- names(glbFeatsText)
# Remember to use stemmed terms
glb_important_terms <- list()
# Text Processing Step: extractPatterns (ngrams)
glbFeatsTextPatterns <- list()
#glbFeatsTextPatterns[[<txtFeat>>]] <- list()
#glbFeatsTextPatterns[[<txtFeat>>]] <- c(metropolitan.diary.colon = "Metropolitan Diary:")
# Have to set it even if it is not used
# Properties:
# numrows(glb_feats_df) << numrows(glbObsFit
# Select terms that appear in at least 0.2 * O(FP/FN(glbObsOOB)) ???
# numrows(glbObsOOB) = 1.1 * numrows(glbObsNew) ???
glb_sprs_thresholds <- NULL # or c(<txtFeat1> = 0.988, <txtFeat2> = 0.970, <txtFeat3> = 0.970)
glbFctrMaxUniqVals <- 20 # default: 20
glb_impute_na_data <- FALSE # or TRUE
glb_mice_complete.seed <- 144 # or any integer
glbFeatsCluster <- paste(grep("^Q.", glbFeatsExclude, value = TRUE), "fctr", sep = ".") # NULL : glbFeatsCluster <- c("YOB.Age.fctr", "Gender.fctr", "Income.fctr",
# # "Hhold.fctr",
# "Edn.fctr",
# paste(grep("^Q.", glbFeatsExclude, value = TRUE), "fctr", sep = ".")) # NULL : default or c("<feat1>", "<feat2>")
# glbFeatsCluster <- grep(paste0("[",
# toupper(paste0(substr(glbFeatsText, 1, 1), collapse = "")),
# "]\\.[PT]\\."),
# names(glbObsAll), value = TRUE)
glb_cluster.seed <- 189 # or any integer
glbClusterEntropyVar <- NULL # c(glb_rsp_var, as.factor(cut(glb_rsp_var, 3)), default: NULL)
glbFeatsClusterVarsExclude <- FALSE # default FALSE
glb_interaction_only_feats <- NULL # : default or c(<parent_feat> = "<child_feat>")
glbFeatsNzvFreqMax <- 19 # 19 : caret default
glbFeatsNzvUniqMin <- 10 # 10 : caret default
glbRFESizes <- list()
#glbRFESizes[["mdlFamily"]] <- c(4, 8, 16, 32, 64, 67, 68, 69) # Accuracy@69/70 = 0.8258
glbRFESizes[["RFE.X"]] <- c(96, 112, 120, 124, 128, 129, 130, 131, 132, 133, 135, 138, 142, 157, 187, 247) # accuracy(131) = 0.6285
glbRFESizes[["Final"]] <- c(8, 16, 32, 40, 44, 46, 48, 49, 50, 51, 52, 56, 64, 96, 128, 247) # accuracy(49) = 0.6164
glbRFEResults <- NULL
glbObsFitOutliers <- list()
# If outliers.n >= 10; consider concatenation of interaction vars
# glbObsFitOutliers[["<mdlFamily>"]] <- c(NULL
# is.na(.rstudent)
# max(.rstudent)
# is.na(.dffits)
# .hatvalues >= 0.99
# -38,167,642 < minmax(.rstudent) < 49,649,823
# , <comma-separated-<glbFeatsId>>
# )
glbObsTrnOutliers <- list()
glbObsTrnOutliers[["Final"]] <- union(glbObsFitOutliers[["All.X"]],
c(NULL
))
# Modify mdlId to (build & extract) "<FamilyId>#<Fit|Trn>#<caretMethod>#<preProc1.preProc2>#<samplingMethod>"
glb_models_lst <- list(); glb_models_df <- data.frame()
# Add xgboost algorithm
# Regression
if (glb_is_regression) {
glbMdlMethods <- c(NULL
# deterministic
#, "lm", # same as glm
, "glm", "bayesglm", "glmnet"
, "rpart"
# non-deterministic
, "gbm", "rf"
# Unknown
, "nnet" , "avNNet" # runs 25 models per cv sample for tunelength=5
, "svmLinear", "svmLinear2"
, "svmPoly" # runs 75 models per cv sample for tunelength=5
, "svmRadial"
, "earth"
, "bagEarth" # Takes a long time
,"xgbLinear","xgbTree"
)
} else
# Classification - Add ada (auto feature selection)
if (glb_is_binomial)
glbMdlMethods <- c(NULL
# deterministic
, "bagEarth" # Takes a long time
, "glm", "bayesglm", "glmnet"
, "nnet"
, "rpart"
# non-deterministic
, "gbm"
, "avNNet" # runs 25 models per cv sample for tunelength=5
, "rf"
# Unknown
, "lda", "lda2"
# svm models crash when predict is called -> internal to kernlab it should call predict without .outcome
, "svmLinear", "svmLinear2"
, "svmPoly" # runs 75 models per cv sample for tunelength=5
, "svmRadial"
, "earth"
,"xgbLinear","xgbTree"
) else
glbMdlMethods <- c(NULL
# deterministic
,"glmnet"
# non-deterministic
,"rf"
# Unknown
,"gbm","rpart","xgbLinear","xgbTree"
)
glbMdlFamilies <- list(); glb_mdl_feats_lst <- list()
# family: Choose from c("RFE.X", "Csm.X", "All.X", "Best.Interact") %*% c(NUll, ".NOr", ".Inc")
# RFE = "Recursive Feature Elimination"
# Csm = CuStoM
# NOr = No OutlieRs
# Inc = INteraCt
# methods: Choose from c(NULL, <method>, glbMdlMethods)
#glbMdlFamilies[["RFE.X"]] <- c("glmnet", "glm") # non-NULL vector is mandatory
if (glb_is_classification && !glb_is_binomial) {
# glm does not work for multinomial
glbMdlFamilies[["All.X"]] <- c("glmnet")
} else {
glbMdlFamilies[["All.X"]] <- c("glmnet", "glm")
# glbMdlFamilies[["RFE.X"]] <- c("glmnet", "glm")
glbMdlFamilies[["RFE.X"]] <- setdiff(glbMdlMethods, c(NULL
, "bayesglm" # error: Error in trControl$classProbs && any(classLevels != make.names(classLevels)) : invalid 'x' type in 'x && y'
, "lda","lda2" # error: Error in lda.default(x, grouping, ...) : variable 236 appears to be constant within groups
, "svmLinear" # Error in .local(object, ...) : test vector does not match model ! In addition: Warning messages:
, "svmLinear2" # SVM has not been trained using `probability = TRUE`, probabilities not available for predictions
, "svmPoly" # runs 75 models per cv sample for tunelength=5 # took > 2 hrs # Error in .local(object, ...) : test vector does not match model !
, "svmRadial" # didn't bother
,"xgbLinear","xgbTree" # Need clang-omp compiler; Upgrade to Revolution R 3.2.3 (3.2.2 current); https://github.com/dmlc/xgboost/issues/276 thread
))
}
glbMdlFamilies[["All.X.Inc"]] <- glbMdlFamilies[["All.X"]] # value not used
glbMdlFamilies[["RFE.X.Inc"]] <- glbMdlFamilies[["RFE.X"]] # value not used
# Check if interaction features make RFE better
# glbMdlFamilies[["CSM.X"]] <- setdiff(glbMdlMethods, c("lda", "lda2")) # crashing due to category:.clusterid ??? #c("glmnet", "glm") # non-NULL list is mandatory
# glb_mdl_feats_lst[["CSM.X"]] <- c(NULL
# , <comma-separated-features-vector>
# )
# dAFeats.CSM.X %<d-% c(NULL
# # Interaction feats up to varImp(RFE.X.glmnet) >= 50
# , <comma-separated-features-vector>
# , setdiff(myextract_actual_feats(predictors(glbRFEResults)), c(NULL
# , <comma-separated-features-vector>
# ))
# )
# glb_mdl_feats_lst[["CSM.X"]] <- "%<d-% dAFeats.CSM.X"
glbMdlFamilies[["Final"]] <- c(NULL) # NULL vector acceptable # c("glmnet", "glm")
glbMdlAllowParallel <- list()
#glbMdlAllowParallel[["Final##rcv#glmnet"]] <- FALSE
glbMdlAllowParallel[["All.X##rcv#glm"]] <- FALSE
glbMdlAllowParallel[["All.X#zv.pca#rcv#glmnet"]] <- FALSE
glbMdlAllowParallel[["All.X#ica#rcv#glmnet"]] <- FALSE
glbMdlAllowParallel[["RFE.X#zv.pca#rcv#glmnet"]] <- FALSE
glbMdlAllowParallel[["RFE.X#ica#rcv#glmnet"]] <- FALSE
glbMdlAllowParallel[["RFE.X#nzv.pca.spatialSign#rcv#glmnet"]] <- FALSE
glbMdlAllowParallel[["RFE.X##rcv#glm"]] <- FALSE
glbMdlAllowParallel[["RFE.X##rcv#bayesglm"]] <- FALSE
glbMdlAllowParallel[["RFE.X##rcv#rpart"]] <- FALSE
glbMdlAllowParallel[["RFE.X##rcv#lda"]] <- FALSE
glbMdlAllowParallel[["RFE.X##rcv#lda2"]] <- FALSE
glbMdlAllowParallel[["RFE.X##rcv#svmLinear"]] <- FALSE
glbMdlAllowParallel[["RFE.X##rcv#svmPoly"]] <- FALSE
glbMdlAllowParallel[["RFE.X##rcv#earth"]] <- FALSE
glbMdlAllowParallel[["Final.RFE.X#zv.pca#rcv#glmnet"]] <- FALSE
glbMdlAllowParallel[["Final.All.X#ica#rcv#glmnet"]] <- FALSE
glbMdlAllowParallel[["Ensemble.auto##boot#glmnet"]] <- FALSE
glbMdlAllowParallel[["Ensemble.auto##boot632#glmnet"]] <- FALSE
glbMdlAllowParallel[["Ensemble.auto##rcv#glm"]] <- FALSE
glbMdlAllowParallel[["Ensemble.auto.2##boot#glmnet"]] <- FALSE
glbMdlAllowParallel[["Ensemble.auto.2##boot632#glmnet"]] <- FALSE
# Check if tuning parameters make fit better; make it mdlFamily customizable ?
glbMdlTuneParams <- data.frame()
# When glmnet crashes at model$grid with error: ???
# glmnetTuneParams <- rbind(data.frame()
# ,data.frame(parameter = "alpha", vals = "0.100 0.325 0.550 0.775 1.000")
# ,data.frame(parameter = "lambda", vals = "9.342e-02")
# )
# glbMdlTuneParams <- myrbind_df(glbMdlTuneParams,
# cbind(data.frame(mdlId = "<mdlId>"),
# glmnetTuneParams))
#avNNet
# size=[1] 3 5 7 9; decay=[0] 1e-04 0.001 0.01 0.1; bag=[FALSE]; RMSE=1.3300906
#bagEarth
# degree=1 [2] 3; nprune=64 128 256 512 [1024]; RMSE=0.6486663 (up)
bagEarthTuneParams <- rbind(data.frame()
,data.frame(parameter = "degree", vals = "1")
,data.frame(parameter = "nprune", vals = "256")
)
glbMdlTuneParams <- myrbind_df(glbMdlTuneParams,
cbind(data.frame(mdlId = "Final.RFE.X.Inc##rcv#bagEarth"),
bagEarthTuneParams))
# glbMdlTuneParams <- myrbind_df(glbMdlTuneParams, rbind(data.frame()
# ,data.frame(method = "bagEarth", parameter = "nprune", vals = "256")
# ,data.frame(method = "bagEarth", parameter = "degree", vals = "2")
# ))
#earth
# degree=[1]; nprune=2 [9] 17 25 33; RMSE=0.1334478
#gbm
# shrinkage=0.05 [0.10] 0.15 0.20 0.25; n.trees=100 150 200 [250] 300; interaction.depth=[1] 2 3 4 5; n.minobsinnode=[10]; RMSE=0.2008313
# glbMdlTuneParams <- myrbind_df(glbMdlTuneParams, rbind(data.frame()
# ,data.frame(method = "gbm", parameter = "shrinkage", min = 0.05, max = 0.25, by = 0.05)
# ,data.frame(method = "gbm", parameter = "n.trees", min = 100, max = 300, by = 50)
# ,data.frame(method = "gbm", parameter = "interaction.depth", min = 1, max = 5, by = 1)
# ,data.frame(method = "gbm", parameter = "n.minobsinnode", min = 10, max = 10, by = 10)
# #seq(from=0.05, to=0.25, by=0.05)
# ))
#glmnet
# alpha=0.100 [0.325] 0.550 0.775 1.000; lambda=0.0005232693 0.0024288010 0.0112734954 [0.0523269304] 0.2428800957; RMSE=0.6164891
# glbMdlTuneParams <- myrbind_df(glbMdlTuneParams, rbind(data.frame()
# ,data.frame(method = "glmnet", parameter = "alpha", vals = "0.550 0.775 0.8875 0.94375 1.000")
# ,data.frame(method = "glmnet", parameter = "lambda", vals = "9.858855e-05 0.0001971771 0.0009152152 0.0042480525 0.0197177130")
# ))
#nnet
# size=3 5 [7] 9 11; decay=0.0001 0.001 0.01 [0.1] 0.2; RMSE=0.9287422
# glbMdlTuneParams <- myrbind_df(glbMdlTuneParams, rbind(data.frame()
# ,data.frame(method = "nnet", parameter = "size", vals = "3 5 7 9 11")
# ,data.frame(method = "nnet", parameter = "decay", vals = "0.0001 0.0010 0.0100 0.1000 0.2000")
# ))
#rf # Don't bother; results are not deterministic
# mtry=2 35 68 [101] 134; RMSE=0.1339974
# glbMdlTuneParams <- myrbind_df(glbMdlTuneParams, rbind(data.frame()
# ,data.frame(method = "rf", parameter = "mtry", vals = "2 5 9 13 17")
# ))
#rpart
# cp=0.020 [0.025] 0.030 0.035 0.040; RMSE=0.1770237
# glbMdlTuneParams <- myrbind_df(glbMdlTuneParams, rbind(data.frame()
# ,data.frame(method = "rpart", parameter = "cp", vals = "0.004347826 0.008695652 0.017391304 0.021739130 0.034782609")
# ))
#svmLinear
# C=0.01 0.05 [0.10] 0.50 1.00 2.00 3.00 4.00; RMSE=0.1271318; 0.1296718
# glbMdlTuneParams <- myrbind_df(glbMdlTuneParams, rbind(data.frame()
# ,data.frame(method = "svmLinear", parameter = "C", vals = "0.01 0.05 0.1 0.5 1")
# ))
#svmLinear2
# cost=0.0625 0.1250 [0.25] 0.50 1.00; RMSE=0.1276354
# glbMdlTuneParams <- myrbind_df(glbMdlTuneParams, rbind(data.frame()
# ,data.frame(method = "svmLinear2", parameter = "cost", vals = "0.0625 0.125 0.25 0.5 1")
# ))
#svmPoly
# degree=[1] 2 3 4 5; scale=0.01 0.05 [0.1] 0.5 1; C=0.50 1.00 [2.00] 3.00 4.00; RMSE=0.1276130
# glbMdlTuneParams <- myrbind_df(glbMdlTuneParams, rbind(data.frame()
# ,data.frame(method="svmPoly", parameter="degree", min=1, max=5, by=1) #seq(1, 5, 1)
# ,data.frame(method="svmPoly", parameter="scale", vals="0.01, 0.05, 0.1, 0.5, 1")
# ,data.frame(method="svmPoly", parameter="C", vals="0.50, 1.00, 2.00, 3.00, 4.00")
# ))
#svmRadial
# sigma=[0.08674323]; C=0.25 0.50 1.00 [2.00] 4.00; RMSE=0.1614957
#glb2Sav(); all.equal(sav_models_df, glb_models_df)
pkgPreprocMethods <-
# caret version: 6.0.068 # packageVersion("caret")
# operations are applied in this order: zero-variance filter, near-zero variance filter, Box-Cox/Yeo-Johnson/exponential transformation, centering, scaling, range, imputation, PCA, ICA then spatial sign
# *Impute methods needed only if NAs are fed to myfit_mdl
# Also, ordered.factor in caret creates features as Edn.fctr^4 which is treated as an exponent by bagImpute
c(NULL
,"zv", "nzv"
,"BoxCox", "YeoJohnson", "expoTrans"
,"center", "scale", "center.scale", "range"
,"knnImpute", "bagImpute", "medianImpute"
,"zv.pca", "ica", "spatialSign"
,"conditionalX")
glbMdlPreprocMethods <- list( # NULL # : default
"All.X" = list("glmnet" = union(setdiff(pkgPreprocMethods,
c("knnImpute", "bagImpute", "medianImpute")),
# NULL))
c("nzv.spatialSign")))
)
glbMdlPreprocMethods[["RFE.X"]] <- list("glmnet" = union(unlist(glbMdlPreprocMethods[["All.X"]]),
"nzv.pca.spatialSign"))
# Baseline prediction model feature(s)
glb_Baseline_mdl_var <- NULL # or c("<feat>")
glbMdlMetric_terms <- NULL # or matrix(c(
# 0,1,2,3,4,
# 2,0,1,2,3,
# 4,2,0,1,2,
# 6,4,2,0,1,
# 8,6,4,2,0
# ), byrow=TRUE, nrow=5)
glbMdlMetricSummary <- NULL # or "<metric_name>"
glbMdlMetricMaximize <- NULL # or FALSE (TRUE is not the default for both classification & regression)
glbMdlMetricSummaryFn <- NULL # or function(data, lev=NULL, model=NULL) {
# confusion_mtrx <- t(as.matrix(confusionMatrix(data$pred, data$obs)))
# #print(confusion_mtrx)
# #print(confusion_mtrx * glbMdlMetric_terms)
# metric <- sum(confusion_mtrx * glbMdlMetric_terms) / nrow(data)
# names(metric) <- glbMdlMetricSummary
# return(metric)
# }
glbMdlCheckRcv <- FALSE # Turn it on when needed; otherwise takes long time
glb_rcv_n_folds <- 3 # or NULL
glb_rcv_n_repeats <- 3 # or NULL
glb_clf_proba_threshold <- NULL # 0.5
# Model selection criteria
if (glb_is_regression)
glbMdlMetricsEval <- c("min.RMSE.OOB", "max.R.sq.OOB", "min.elapsedtime.everything",
"max.Adj.R.sq.fit", "min.RMSE.fit")
#glbMdlMetricsEval <- c("min.RMSE.fit", "max.R.sq.fit", "max.Adj.R.sq.fit")
if (glb_is_classification) {
if (glb_is_binomial)
glbMdlMetricsEval <-
c("max.Accuracy.OOB", "max.AUCROCR.OOB", "max.AUCpROC.OOB",
"min.elapsedtime.everything",
# "min.aic.fit",
"max.Accuracy.fit") else
glbMdlMetricsEval <- c("max.Accuracy.OOB", "max.Kappa.OOB", "min.elapsedtime.everything")
}
# select from NULL [no ensemble models], "auto" [all models better than MFO or Baseline], c(mdl_ids in glb_models_lst) [Typically top-rated models in auto]
glbMdlEnsemble <- "auto"
# "%<d-% setdiff(mygetEnsembleAutoMdlIds(), 'CSM.X.rf')"
# c(<comma-separated-mdlIds>
# )
# Only for classifications; for regressions remove "(.*)\\.prob" form the regex
# tmp_fitobs_df <- glbObsFit[, grep(paste0("^", gsub(".", "\\.", mygetPredictIds$value, fixed = TRUE), "CSM\\.X\\.(.*)\\.prob"), names(glbObsFit), value = TRUE)]; cor_mtrx <- cor(tmp_fitobs_df); cor_vctr <- sort(cor_mtrx[row.names(orderBy(~-Overall, varImp(glb_models_lst[["Ensemble.repeatedcv.glmnet"]])$imp))[1], ]); summary(cor_vctr); cor_vctr
#ntv.glm <- glm(reformulate(indepVar, glb_rsp_var), family = "binomial", data = glbObsFit)
#step.glm <- step(ntv.glm)
glbMdlSelId <- NULL #select from c(NULL, "All.X##rcv#glmnet", "RFE.X##rcv#glmnet", <mdlId>)
glbMdlFinId <- NULL #select from c(NULL, glbMdlSelId)
glb_dsp_cols <- c(".pos", glbFeatsId, glbFeatsCategory, glb_rsp_var
# List critical cols excl. above
)
# Output specs
# lclgetfltout_df <- function(obsOutFinDf) {
# require(tidyr)
# obsOutFinDf <- obsOutFinDf %>%
# tidyr::separate("ImageId.x.y", c(".src", ".pos", "x", "y"),
# sep = "#", remove = TRUE, extra = "merge")
# # mnm prefix stands for max_n_mean
# mnmout_df <- obsOutFinDf %>%
# dplyr::group_by(.pos) %>%
# #dplyr::top_n(1, Probability1) %>% # Score = 3.9426
# #dplyr::top_n(2, Probability1) %>% # Score = ???; weighted = 3.94254;
# #dplyr::top_n(3, Probability1) %>% # Score = 3.9418; weighted = 3.94169;
# dplyr::top_n(4, Probability1) %>% # Score = ???; weighted = 3.94149;
# #dplyr::top_n(5, Probability1) %>% # Score = 3.9421; weighted = 3.94178
#
# # dplyr::summarize(xMeanN = mean(as.numeric(x)), yMeanN = mean(as.numeric(y)))
# # dplyr::summarize(xMeanN = weighted.mean(as.numeric(x), Probability1), yMeanN = mean(as.numeric(y)))
# # dplyr::summarize(xMeanN = weighted.mean(as.numeric(x), c(Probability1, 0.2357323, 0.2336925)), yMeanN = mean(as.numeric(y)))
# # dplyr::summarize(xMeanN = weighted.mean(as.numeric(x), c(Probability1)), yMeanN = mean(as.numeric(y)))
# dplyr::summarize(xMeanN = weighted.mean(as.numeric(x), c(Probability1)),
# yMeanN = weighted.mean(as.numeric(y), c(Probability1)))
#
# maxout_df <- obsOutFinDf %>%
# dplyr::group_by(.pos) %>%
# dplyr::summarize(maxProb1 = max(Probability1))
# fltout_df <- merge(maxout_df, obsOutFinDf,
# by.x = c(".pos", "maxProb1"), by.y = c(".pos", "Probability1"),
# all.x = TRUE)
# fmnout_df <- merge(fltout_df, mnmout_df,
# by.x = c(".pos"), by.y = c(".pos"),
# all.x = TRUE)
# return(fmnout_df)
# }
glbObsOut <- list(NULL
# glbFeatsId will be the first output column, by default
,vars = list()
# ,mapFn = function(obsOutFinDf) {
# }
)
#obsOutFinDf <- savobsOutFinDf
# glbObsOut$mapFn <- function(obsOutFinDf) {
# txfout_df <- dplyr::select(obsOutFinDf, -.pos.y) %>%
# dplyr::mutate(
# lunch = levels(glbObsTrn[, "lunch" ])[
# round(mean(as.numeric(glbObsTrn[, "lunch" ])), 0)],
# dinner = levels(glbObsTrn[, "dinner" ])[
# round(mean(as.numeric(glbObsTrn[, "dinner" ])), 0)],
# reserve = levels(glbObsTrn[, "reserve" ])[
# round(mean(as.numeric(glbObsTrn[, "reserve" ])), 0)],
# outdoor = levels(glbObsTrn[, "outdoor" ])[
# round(mean(as.numeric(glbObsTrn[, "outdoor" ])), 0)],
# expensive = levels(glbObsTrn[, "expensive"])[
# round(mean(as.numeric(glbObsTrn[, "expensive"])), 0)],
# liquor = levels(glbObsTrn[, "liquor" ])[
# round(mean(as.numeric(glbObsTrn[, "liquor" ])), 0)],
# table = levels(glbObsTrn[, "table" ])[
# round(mean(as.numeric(glbObsTrn[, "table" ])), 0)],
# classy = levels(glbObsTrn[, "classy" ])[
# round(mean(as.numeric(glbObsTrn[, "classy" ])), 0)],
# kids = levels(glbObsTrn[, "kids" ])[
# round(mean(as.numeric(glbObsTrn[, "kids" ])), 0)]
# )
#
# print("ObsNew output class tables:")
# print(sapply(c("lunch","dinner","reserve","outdoor",
# "expensive","liquor","table",
# "classy","kids"),
# function(feat) table(txfout_df[, feat], useNA = "ifany")))
#
# txfout_df <- txfout_df %>%
# dplyr::mutate(labels = "") %>%
# dplyr::mutate(labels =
# ifelse(lunch != "-1", paste(labels, lunch ), labels)) %>%
# dplyr::mutate(labels =
# ifelse(dinner != "-1", paste(labels, dinner ), labels)) %>%
# dplyr::mutate(labels =
# ifelse(reserve != "-1", paste(labels, reserve ), labels)) %>%
# dplyr::mutate(labels =
# ifelse(outdoor != "-1", paste(labels, outdoor ), labels)) %>%
# dplyr::mutate(labels =
# ifelse(expensive != "-1", paste(labels, expensive), labels)) %>%
# dplyr::mutate(labels =
# ifelse(liquor != "-1", paste(labels, liquor ), labels)) %>%
# dplyr::mutate(labels =
# ifelse(table != "-1", paste(labels, table ), labels)) %>%
# dplyr::mutate(labels =
# ifelse(classy != "-1", paste(labels, classy ), labels)) %>%
# dplyr::mutate(labels =
# ifelse(kids != "-1", paste(labels, kids ), labels)) %>%
# dplyr::select(business_id, labels)
# return(txfout_df)
# }
#if (!is.null(glbObsOut$mapFn)) obsOutFinDf <- glbObsOut$mapFn(obsOutFinDf); print(head(obsOutFinDf))
glb_out_obs <- NULL # select from c(NULL : default to "new", "all", "new", "trn")
if (glb_is_classification && glb_is_binomial) {
# glbObsOut$vars[["Probability1"]] <-
# "%<d-% glbObsNew[, mygetPredictIds(glb_rsp_var, glbMdlFinId)$prob]"
# glbObsOut$vars[[glb_rsp_var_raw]] <-
# "%<d-% glb_map_rsp_var_to_raw(glbObsNew[,
# mygetPredictIds(glb_rsp_var, glbMdlFinId)$value])"
glbObsOut$vars[["Predictions"]] <-
"%<d-% glb_map_rsp_var_to_raw(glbObsNew[,
mygetPredictIds(glb_rsp_var, glbMdlFinId)$value])"
} else {
# glbObsOut$vars[[glbFeatsId]] <-
# "%<d-% as.integer(gsub('Test#', '', glbObsNew[, glbFeatsId]))"
glbObsOut$vars[[glb_rsp_var]] <-
"%<d-% glbObsNew[, mygetPredictIds(glb_rsp_var, glbMdlFinId)$value]"
# for (outVar in setdiff(glbFeatsExcludeLcl, glb_rsp_var_raw))
# glbObsOut$vars[[outVar]] <-
# paste0("%<d-% mean(glbObsAll[, \"", outVar, "\"], na.rm = TRUE)")
}
# glbObsOut$vars[[glb_rsp_var_raw]] <- glb_rsp_var_raw
# glbObsOut$vars[[paste0(head(unlist(strsplit(mygetPredictIds$value, "")), -1), collapse = "")]] <-
glbOutStackFnames <- NULL #: default
# c("ebayipads_txt_assoc1_out_bid1_stack.csv") # manual stack
# c("ebayipads_finmdl_bid1_out_nnet_1.csv") # universal stack
glbOut <- list(pfx = "Votes_Ensemble_cnk06_")
# lclImageSampleSeed <- 129
glbOutDataVizFname <- NULL # choose from c(NULL, "<projectId>_obsall.csv")
glbChunks <- list(labels = c("set_global_options_wd","set_global_options"
,"import.data","inspect.data","scrub.data","transform.data"
,"extract.features"
,"extract.features.datetime","extract.features.image","extract.features.price"
,"extract.features.text","extract.features.string"
,"extract.features.end"
,"manage.missing.data","cluster.data","partition.data.training","select.features"
,"fit.models_0","fit.models_1","fit.models_2","fit.models_3"
,"fit.data.training_0","fit.data.training_1"
,"predict.data.new"
,"display.session.info"))
# To ensure that all chunks in this script are in glbChunks
if (!is.null(chkChunksLabels <- knitr::all_labels()) && # knitr::all_labels() doesn't work in console runs
!identical(chkChunksLabels, glbChunks$labels)) {
print(sprintf("setdiff(chkChunksLabels, glbChunks$labels): %s",
setdiff(chkChunksLabels, glbChunks$labels)))
print(sprintf("setdiff(glbChunks$labels, chkChunksLabels): %s",
setdiff(glbChunks$labels, chkChunksLabels)))
}
glbChunks[["first"]] <- "fit.models_2" #default: script will load envir from previous chunk
glbChunks[["last" ]] <- NULL # NULL #default: script will save envir at end of this chunk
glbChunks[["inpFilePathName"]] <- "data/Votes_RFEXNOr_cnk05_fit.models_1_nomdllst.RData" # "data/<prvScriptName>_<lstChunkLbl>.RData"
#mysavChunk(glbOut$pfx, glbChunks[["last"]]) # called from myevlChunk
# Temporary: Delete this function (if any) from here after appropriate .RData file is saved
# Inspect max OOB FP
#chkObsOOB <- subset(glbObsOOB, !label.fctr.All.X..rcv.glmnet.is.acc)
#chkObsOOBFP <- subset(chkObsOOB, label.fctr.All.X..rcv.glmnet == "left_eye_center") %>% dplyr::mutate(Probability1 = label.fctr.All.X..rcv.glmnet.prob) %>% select(-.src, -.pos, -x, -y) %>% lclgetfltout_df() %>% mutate(obj.distance = (((as.numeric(x) - left_eye_center_x.int) ^ 2) + ((as.numeric(y) - left_eye_center_y.int) ^ 2)) ^ 0.5) %>% dplyr::top_n(5, obj.distance) %>% dplyr::top_n(5, -patch.cor)
#
#newImgObs <- glbObsNew[(glbObsNew$ImageId == "Test#0001"), ]; print(newImgObs[which.max(newImgObs$label.fctr.Final..rcv.glmnet.prob), ])
#OOBImgObs <- glbObsOOB[(glbObsOOB$ImageId == "Train#0003"), ]; print(OOBImgObs[which.max(OOBImgObs$label.fctr.All.X..rcv.glmnet.prob), ])
#mygetImage(which(glbObsAll[, glbFeatsId] == "Train#0003"), names(glbFeatsImage)[1], plot = TRUE, featHighlight = c("left_eye_center_x", "left_eye_center_y"), ovrlHighlight = c(66, 35))
# Depict process
glb_analytics_pn <- petrinet(name = "glb_analytics_pn",
trans_df = data.frame(id = 1:6,
name = c("data.training.all","data.new",
"model.selected","model.final",
"data.training.all.prediction","data.new.prediction"),
x=c( -5,-5,-15,-25,-25,-35),
y=c( -5, 5, 0, 0, -5, 5)
),
places_df=data.frame(id=1:4,
name=c("bgn","fit.data.training.all","predict.data.new","end"),
x=c( -0, -20, -30, -40),
y=c( 0, 0, 0, 0),
M0=c( 3, 0, 0, 0)
),
arcs_df = data.frame(
begin = c("bgn","bgn","bgn",
"data.training.all","model.selected","fit.data.training.all",
"fit.data.training.all","model.final",
"data.new","predict.data.new",
"data.training.all.prediction","data.new.prediction"),
end = c("data.training.all","data.new","model.selected",
"fit.data.training.all","fit.data.training.all","model.final",
"data.training.all.prediction","predict.data.new",
"predict.data.new","data.new.prediction",
"end","end")
))
#print(ggplot.petrinet(glb_analytics_pn))
print(ggplot.petrinet(glb_analytics_pn) + coord_flip())## Loading required package: grid
glb_analytics_avl_objs <- NULL
glb_chunks_df <- myadd_chunk(NULL,
ifelse(is.null(glbChunks$first), "import.data", glbChunks$first))## label step_major step_minor label_minor bgn end elapsed
## 1 fit.models_2 1 0 0 7.063 NA NAStep 1.0: fit models_2
chunk option: eval=
Step 1.0: fit models_2
Step 1.0: fit models_2
Step 1.0: fit models_2
Step 1.0: fit models_2
Step 1.0: fit models_2
Step 1.0: fit models_2
```{r extract.features.image, cache=FALSE, echo=FALSE, fig.height=5, fig.width=5, eval=myevlChunk(glbChunks, glbOut$pfx)}
Step 1.0: fit models_2
Step 1.0: fit models_2
Step 1.0: fit models_2
Step 1.0: fit models_2
Step 1.0: fit models_2
Step 1.0: fit models_2
```{r cluster.data, cache=FALSE, echo=FALSE, eval=myevlChunk(glbChunks, glbOut$pfx)}
Step 1.0: fit models_2
Step 1.0: fit models_2
```{r select.features, cache=FALSE, echo=FALSE, eval=myevlChunk(glbChunks, glbOut$pfx)}
Step 1.0: fit models_2
fit.models_0_chunk_df <- myadd_chunk(NULL, "fit.models_0_bgn", label.minor = "setup")
# load(paste0(glbOut$pfx, "dsk.RData"))
glbgetModelSelectFormula <- function() {
model_evl_terms <- c(NULL)
# min.aic.fit might not be avl
lclMdlEvlCriteria <-
glbMdlMetricsEval[glbMdlMetricsEval %in% names(glb_models_df)]
for (metric in lclMdlEvlCriteria)
model_evl_terms <- c(model_evl_terms,
ifelse(length(grep("max", metric)) > 0, "-", "+"), metric)
if (glb_is_classification && glb_is_binomial)
model_evl_terms <- c(model_evl_terms, "-", "opt.prob.threshold.OOB")
model_sel_frmla <- as.formula(paste(c("~ ", model_evl_terms), collapse = " "))
return(model_sel_frmla)
}
glbgetDisplayModelsDf <- function() {
dsp_models_cols <- c("id",
glbMdlMetricsEval[glbMdlMetricsEval %in% names(glb_models_df)],
grep("opt.", names(glb_models_df), fixed = TRUE, value = TRUE))
dsp_models_df <-
#orderBy(glbgetModelSelectFormula(), glb_models_df)[, c("id", glbMdlMetricsEval)]
orderBy(glbgetModelSelectFormula(), glb_models_df)[, dsp_models_cols]
nCvMdl <- sapply(glb_models_lst, function(mdl) nrow(mdl$results))
nParams <- sapply(glb_models_lst, function(mdl) ifelse(mdl$method == "custom", 0,
nrow(subset(modelLookup(mdl$method), parameter != "parameter"))))
# nCvMdl <- nCvMdl[names(nCvMdl) != "avNNet"]
# nParams <- nParams[names(nParams) != "avNNet"]
if (length(cvMdlProblems <- nCvMdl[nCvMdl <= nParams]) > 0) {
print("Cross Validation issues:")
warning("Cross Validation issues:")
print(cvMdlProblems)
}
pltMdls <- setdiff(names(nCvMdl), names(cvMdlProblems))
pltMdls <- setdiff(pltMdls, names(nParams[nParams == 0]))
# length(pltMdls) == 21
png(paste0(glbOut$pfx, "bestTune.png"), width = 480 * 2, height = 480 * 4)
grid.newpage()
pushViewport(viewport(layout = grid.layout(ceiling(length(pltMdls) / 2.0), 2)))
pltIx <- 1
for (mdlId in pltMdls) {
print(ggplot(glb_models_lst[[mdlId]], highBestTune = TRUE) + labs(title = mdlId),
vp = viewport(layout.pos.row = ceiling(pltIx / 2.0),
layout.pos.col = ((pltIx - 1) %% 2) + 1))
pltIx <- pltIx + 1
}
dev.off()
if (all(row.names(dsp_models_df) != dsp_models_df$id))
row.names(dsp_models_df) <- dsp_models_df$id
return(dsp_models_df)
}
#glbgetDisplayModelsDf()
if (glb_is_classification && glb_is_binomial &&
(length(unique(glbObsFit[, glb_rsp_var])) < 2))
stop("glbObsFit$", glb_rsp_var, ": contains less than 2 unique values: ",
paste0(unique(glbObsFit[, glb_rsp_var]), collapse=", "))
max_cor_y_x_vars <- orderBy(~ -cor.y.abs,
subset(glb_feats_df, (exclude.as.feat == 0) & !nzv & !is.cor.y.abs.low &
is.na(cor.high.X)))[1:2, "id"]
max_cor_y_x_vars <- max_cor_y_x_vars[!is.na(max_cor_y_x_vars)]
if (length(max_cor_y_x_vars) < 2)
max_cor_y_x_vars <- union(max_cor_y_x_vars, ".pos")
if (!is.null(glb_Baseline_mdl_var)) {
if ((max_cor_y_x_vars[1] != glb_Baseline_mdl_var) &
(glb_feats_df[glb_feats_df$id == max_cor_y_x_vars[1], "cor.y.abs"] >
glb_feats_df[glb_feats_df$id == glb_Baseline_mdl_var, "cor.y.abs"]))
stop(max_cor_y_x_vars[1], " has a higher correlation with ", glb_rsp_var,
" than the Baseline var: ", glb_Baseline_mdl_var)
}
glb_model_type <- ifelse(glb_is_regression, "regression", "classification")
# Model specs
# c("id.prefix", "method", "type",
# # trainControl params
# "preProc.method", "cv.n.folds", "cv.n.repeats", "summary.fn",
# # train params
# "metric", "metric.maximize", "tune.df")
# Baseline
if (!is.null(glb_Baseline_mdl_var)) {
fit.models_0_chunk_df <- myadd_chunk(fit.models_0_chunk_df,
paste0("fit.models_0_", "Baseline"), major.inc = FALSE,
label.minor = "mybaseln_classfr")
ret_lst <- myfit_mdl(mdl_id="Baseline",
model_method="mybaseln_classfr",
indepVar=glb_Baseline_mdl_var,
rsp_var=glb_rsp_var,
fit_df=glbObsFit, OOB_df=glbObsOOB)
}
# Most Frequent Outcome "MFO" model: mean(y) for regression
# Not using caret's nullModel since model stats not avl
# Cannot use rpart for multinomial classification since it predicts non-MFO
if (glb_is_classification) {
fit.models_0_chunk_df <- myadd_chunk(fit.models_0_chunk_df,
paste0("fit.models_0_", "MFO"), major.inc = FALSE,
label.minor = "myMFO_classfr")
ret_lst <- myfit_mdl(mdl_specs_lst = myinit_mdl_specs_lst(mdl_specs_lst = list(
id.prefix = "MFO", type = glb_model_type, trainControl.method = "none",
train.method = ifelse(glb_is_regression, "lm", "myMFO_classfr"))),
indepVar = ".rnorm", rsp_var = glb_rsp_var,
fit_df = glbObsFit, OOB_df = glbObsOOB)
# "random" model - only for classification;
# none needed for regression since it is same as MFO
fit.models_0_chunk_df <- myadd_chunk(fit.models_0_chunk_df,
paste0("fit.models_0_", "Random"), major.inc = FALSE,
label.minor = "myrandom_classfr")
#stop(here"); glb2Sav(); all.equal(glb_models_df, sav_models_df)
ret_lst <- myfit_mdl(mdl_specs_lst = myinit_mdl_specs_lst(mdl_specs_lst = list(
id.prefix = "Random", type = glb_model_type, trainControl.method = "none",
train.method = "myrandom_classfr")),
indepVar = ".rnorm", rsp_var = glb_rsp_var,
fit_df = glbObsFit, OOB_df = glbObsOOB)
}
# Max.cor.Y
# Check impact of cv
# rpart is not a good candidate since caret does not optimize cp (only tuning parameter of rpart) well
fit.models_0_chunk_df <- myadd_chunk(fit.models_0_chunk_df,
paste0("fit.models_0_", "Max.cor.Y.rcv.*X*"), major.inc = FALSE,
label.minor = "glmnet")
ret_lst <- myfit_mdl(mdl_specs_lst = myinit_mdl_specs_lst(mdl_specs_lst = list(
id.prefix = "Max.cor.Y.rcv.1X1", type = glb_model_type, trainControl.method = "none",
train.method = "glmnet")),
indepVar = max_cor_y_x_vars, rsp_var = glb_rsp_var,
fit_df = glbObsFit, OOB_df = glbObsOOB)
if (glbMdlCheckRcv) {
# rcv_n_folds == 1 & rcv_n_repeats > 1 crashes
for (rcv_n_folds in seq(3, glb_rcv_n_folds + 2, 2))
for (rcv_n_repeats in seq(1, glb_rcv_n_repeats + 2, 2)) {
# Experiment specific code to avoid caret crash
# lcl_tune_models_df <- rbind(data.frame()
# ,data.frame(method = "glmnet", parameter = "alpha",
# vals = "0.100 0.325 0.550 0.775 1.000")
# ,data.frame(method = "glmnet", parameter = "lambda",
# vals = "9.342e-02")
# )
ret_lst <- myfit_mdl(mdl_specs_lst = myinit_mdl_specs_lst(mdl_specs_lst =
list(
id.prefix = paste0("Max.cor.Y.rcv.", rcv_n_folds, "X", rcv_n_repeats),
type = glb_model_type,
# tune.df = lcl_tune_models_df,
trainControl.method = "repeatedcv",
trainControl.number = rcv_n_folds,
trainControl.repeats = rcv_n_repeats,
trainControl.classProbs = glb_is_classification,
trainControl.summaryFunction = glbMdlMetricSummaryFn,
train.method = "glmnet", train.metric = glbMdlMetricSummary,
train.maximize = glbMdlMetricMaximize)),
indepVar = max_cor_y_x_vars, rsp_var = glb_rsp_var,
fit_df = glbObsFit, OOB_df = glbObsOOB)
}
# Add parallel coordinates graph of glb_models_df[, glbMdlMetricsEval] to evaluate cv parameters
tmp_models_cols <- c("id", "max.nTuningRuns",
glbMdlMetricsEval[glbMdlMetricsEval %in% names(glb_models_df)],
grep("opt.", names(glb_models_df), fixed = TRUE, value = TRUE))
print(myplot_parcoord(obs_df = subset(glb_models_df,
grepl("Max.cor.Y.rcv.", id, fixed = TRUE),
select = -feats)[, tmp_models_cols],
id_var = "id"))
}
# Useful for stacking decisions
# fit.models_0_chunk_df <- myadd_chunk(fit.models_0_chunk_df,
# paste0("fit.models_0_", "Max.cor.Y[rcv.1X1.cp.0|]"), major.inc = FALSE,
# label.minor = "rpart")
#
# ret_lst <- myfit_mdl(mdl_specs_lst = myinit_mdl_specs_lst(mdl_specs_lst = list(
# id.prefix = "Max.cor.Y.rcv.1X1.cp.0", type = glb_model_type, trainControl.method = "none",
# train.method = "rpart",
# tune.df=data.frame(method="rpart", parameter="cp", min=0.0, max=0.0, by=0.1))),
# indepVar=max_cor_y_x_vars, rsp_var=glb_rsp_var,
# fit_df=glbObsFit, OOB_df=glbObsOOB)
#stop(here"); glb2Sav(); all.equal(glb_models_df, sav_models_df)
# if (glb_is_regression || glb_is_binomial) # For multinomials this model will be run next by default
ret_lst <- myfit_mdl(mdl_specs_lst = myinit_mdl_specs_lst(mdl_specs_lst = list(
id.prefix = "Max.cor.Y",
type = glb_model_type, trainControl.method = "repeatedcv",
trainControl.number = glb_rcv_n_folds,
trainControl.repeats = glb_rcv_n_repeats,
trainControl.classProbs = glb_is_classification,
trainControl.summaryFunction = glbMdlMetricSummaryFn,
trainControl.allowParallel = glbMdlAllowParallel,
train.metric = glbMdlMetricSummary,
train.maximize = glbMdlMetricMaximize,
train.method = "rpart")),
indepVar = max_cor_y_x_vars, rsp_var = glb_rsp_var,
fit_df = glbObsFit, OOB_df = glbObsOOB)
if ((length(glbFeatsDateTime) > 0) &&
(sum(grepl(paste(names(glbFeatsDateTime), "\\.day\\.minutes\\.poly\\.", sep = ""),
names(glbObsAll))) > 0)) {
fit.models_0_chunk_df <- myadd_chunk(fit.models_0_chunk_df,
paste0("fit.models_0_", "Max.cor.Y.Time.Poly"), major.inc = FALSE,
label.minor = "glmnet")
indepVars <- c(max_cor_y_x_vars,
grep(paste(names(glbFeatsDateTime), "\\.day\\.minutes\\.poly\\.", sep = ""),
names(glbObsAll), value = TRUE))
indepVars <- myadjustInteractionFeats(glb_feats_df, indepVars)
ret_lst <- myfit_mdl(mdl_specs_lst = myinit_mdl_specs_lst(mdl_specs_lst = list(
id.prefix = "Max.cor.Y.Time.Poly",
type = glb_model_type, trainControl.method = "repeatedcv",
trainControl.number = glb_rcv_n_folds, trainControl.repeats = glb_rcv_n_repeats,
trainControl.classProbs = glb_is_classification,
trainControl.summaryFunction = glbMdlMetricSummaryFn,
trainControl.allowParallel = glbMdlAllowParallel,
train.metric = glbMdlMetricSummary,
train.maximize = glbMdlMetricMaximize,
train.method = "glmnet")),
indepVar = indepVars,
rsp_var = glb_rsp_var,
fit_df = glbObsFit, OOB_df = glbObsOOB)
}
if ((length(glbFeatsDateTime) > 0) &&
(sum(grepl(paste(names(glbFeatsDateTime), "\\.last[[:digit:]]", sep = ""),
names(glbObsAll))) > 0)) {
fit.models_0_chunk_df <- myadd_chunk(fit.models_0_chunk_df,
paste0("fit.models_0_", "Max.cor.Y.Time.Lag"), major.inc = FALSE,
label.minor = "glmnet")
indepVars <- c(max_cor_y_x_vars,
grep(paste(names(glbFeatsDateTime), "\\.last[[:digit:]]", sep = ""),
names(glbObsAll), value = TRUE))
indepVars <- myadjustInteractionFeats(glb_feats_df, indepVars)
ret_lst <- myfit_mdl(mdl_specs_lst = myinit_mdl_specs_lst(mdl_specs_lst = list(
id.prefix = "Max.cor.Y.Time.Lag",
type = glb_model_type,
tune.df = glbMdlTuneParams,
trainControl.method = "repeatedcv",
trainControl.number = glb_rcv_n_folds, trainControl.repeats = glb_rcv_n_repeats,
trainControl.classProbs = glb_is_classification,
trainControl.summaryFunction = glbMdlMetricSummaryFn,
trainControl.allowParallel = glbMdlAllowParallel,
train.metric = glbMdlMetricSummary,
train.maximize = glbMdlMetricMaximize,
train.method = "glmnet")),
indepVar = indepVars,
rsp_var = glb_rsp_var,
fit_df = glbObsFit, OOB_df = glbObsOOB)
}
if (length(glbFeatsText) > 0) {
fit.models_0_chunk_df <- myadd_chunk(fit.models_0_chunk_df,
paste0("fit.models_0_", "Txt.*"), major.inc = FALSE,
label.minor = "glmnet")
indepVars <- c(max_cor_y_x_vars)
for (txtFeat in names(glbFeatsText))
indepVars <- union(indepVars,
grep(paste(str_to_upper(substr(txtFeat, 1, 1)), "\\.(?!([T|P]\\.))", sep = ""),
names(glbObsAll), perl = TRUE, value = TRUE))
indepVars <- myadjustInteractionFeats(glb_feats_df, indepVars)
ret_lst <- myfit_mdl(mdl_specs_lst = myinit_mdl_specs_lst(mdl_specs_lst = list(
id.prefix = "Max.cor.Y.Text.nonTP",
type = glb_model_type,
tune.df = glbMdlTuneParams,
trainControl.method = "repeatedcv",
trainControl.number = glb_rcv_n_folds, trainControl.repeats = glb_rcv_n_repeats,
trainControl.classProbs = glb_is_classification,
trainControl.summaryFunction = glbMdlMetricSummaryFn,
trainControl.allowParallel = glbMdlAllowParallel,
train.metric = glbMdlMetricSummary,
train.maximize = glbMdlMetricMaximize,
train.method = "glmnet")),
indepVar = indepVars,
rsp_var = glb_rsp_var,
fit_df = glbObsFit, OOB_df = glbObsOOB)
indepVars <- c(max_cor_y_x_vars)
for (txtFeat in names(glbFeatsText))
indepVars <- union(indepVars,
grep(paste(str_to_upper(substr(txtFeat, 1, 1)), "\\.T\\.", sep = ""),
names(glbObsAll), perl = TRUE, value = TRUE))
indepVars <- myadjustInteractionFeats(glb_feats_df, indepVars)
ret_lst <- myfit_mdl(mdl_specs_lst = myinit_mdl_specs_lst(mdl_specs_lst = list(
id.prefix = "Max.cor.Y.Text.onlyT",
type = glb_model_type,
tune.df = glbMdlTuneParams,
trainControl.method = "repeatedcv",
trainControl.number = glb_rcv_n_folds, trainControl.repeats = glb_rcv_n_repeats,
trainControl.classProbs = glb_is_classification,
trainControl.summaryFunction = glbMdlMetricSummaryFn,
train.metric = glbMdlMetricSummary,
train.maximize = glbMdlMetricMaximize,
train.method = "glmnet")),
indepVar = indepVars,
rsp_var = glb_rsp_var,
fit_df = glbObsFit, OOB_df = glbObsOOB)
indepVars <- c(max_cor_y_x_vars)
for (txtFeat in names(glbFeatsText))
indepVars <- union(indepVars,
grep(paste(str_to_upper(substr(txtFeat, 1, 1)), "\\.P\\.", sep = ""),
names(glbObsAll), perl = TRUE, value = TRUE))
indepVars <- myadjustInteractionFeats(glb_feats_df, indepVars)
ret_lst <- myfit_mdl(mdl_specs_lst = myinit_mdl_specs_lst(mdl_specs_lst = list(
id.prefix = "Max.cor.Y.Text.onlyP",
type = glb_model_type,
tune.df = glbMdlTuneParams,
trainControl.method = "repeatedcv",
trainControl.number = glb_rcv_n_folds, trainControl.repeats = glb_rcv_n_repeats,
trainControl.classProbs = glb_is_classification,
trainControl.summaryFunction = glbMdlMetricSummaryFn,
trainControl.allowParallel = glbMdlAllowParallel,
train.metric = glbMdlMetricSummary,
train.maximize = glbMdlMetricMaximize,
train.method = "glmnet")),
indepVar = indepVars,
rsp_var = glb_rsp_var,
fit_df = glbObsFit, OOB_df = glbObsOOB)
}
# Interactions.High.cor.Y
if (length(int_feats <- setdiff(setdiff(unique(glb_feats_df$cor.high.X), NA),
subset(glb_feats_df, nzv)$id)) > 0) {
fit.models_0_chunk_df <- myadd_chunk(fit.models_0_chunk_df,
paste0("fit.models_0_", "Interact.High.cor.Y"), major.inc = FALSE,
label.minor = "glmnet")
ret_lst <- myfit_mdl(mdl_specs_lst=myinit_mdl_specs_lst(mdl_specs_lst=list(
id.prefix="Interact.High.cor.Y",
type=glb_model_type, trainControl.method="repeatedcv",
trainControl.number=glb_rcv_n_folds, trainControl.repeats=glb_rcv_n_repeats,
trainControl.classProbs = glb_is_classification,
trainControl.summaryFunction = glbMdlMetricSummaryFn,
trainControl.allowParallel = glbMdlAllowParallel,
train.metric = glbMdlMetricSummary,
train.maximize = glbMdlMetricMaximize,
train.method="glmnet")),
indepVar=c(max_cor_y_x_vars, paste(max_cor_y_x_vars[1], int_feats, sep=":")),
rsp_var=glb_rsp_var,
fit_df=glbObsFit, OOB_df=glbObsOOB)
}
# Low.cor.X
fit.models_0_chunk_df <- myadd_chunk(fit.models_0_chunk_df,
paste0("fit.models_0_", "Low.cor.X"), major.inc = FALSE,
label.minor = "glmnet")
indepVar <- mygetIndepVar(glb_feats_df)
ret_lst <- myfit_mdl(mdl_specs_lst = myinit_mdl_specs_lst(mdl_specs_lst = list(
id.prefix = "Low.cor.X",
type = glb_model_type,
tune.df = glbMdlTuneParams,
trainControl.method = "repeatedcv",
trainControl.number = glb_rcv_n_folds, trainControl.repeats = glb_rcv_n_repeats,
trainControl.classProbs = glb_is_classification,
trainControl.summaryFunction = glbMdlMetricSummaryFn,
trainControl.allowParallel = glbMdlAllowParallel,
train.metric = glbMdlMetricSummary,
train.maximize = glbMdlMetricMaximize,
train.method = "glmnet")),
indepVar = indepVar, rsp_var = glb_rsp_var,
fit_df = glbObsFit, OOB_df = glbObsOOB)
fit.models_0_chunk_df <-
myadd_chunk(fit.models_0_chunk_df, "fit.models_0_end", major.inc = FALSE,
label.minor = "teardown")
rm(ret_lst)
glb_chunks_df <- myadd_chunk(glb_chunks_df, "fit.models", major.inc = FALSE)```{r fit.models_1, cache=FALSE, fig.height=10, fig.width=15, eval=myevlChunk(glbChunks, glbOut$pfx)}
```{r fit.models_2, cache=FALSE, fig.height=10, fig.width=15, eval=myevlChunk(glbChunks, glbOut$pfx)}
## label step_major step_minor label_minor bgn end elapsed
## 1 fit.models_2_bgn 1 0 setup 9.264 NA NA## Loading required package: reshape2## Warning: max.AccuracyUpper.fit already exists in glb_models_df## [1] "var:max.KappaSD.fit"## Loading required package: RColorBrewer## Warning: Removed 8 rows containing missing values (geom_errorbar).## quartz_off_screen
## 2## Warning: Removed 8 rows containing missing values (geom_errorbar).
## id max.Accuracy.OOB max.AUCROCR.OOB
## 48 RFE.X.Inc##rcv#bagEarth 0.5838565 0.5840728
## 40 RFE.X##rcv#bagEarth 0.5838565 0.5829523
## 39 RFE.X#zv.pca#rcv#glmnet 0.5829596 0.5816510
## 22 All.X#nzv.spatialSign#rcv#glmnet 0.5820628 0.5787416
## 20 All.X#spatialSign#rcv#glmnet 0.5811659 0.5793099
## 37 RFE.X#nzv.spatialSign#rcv#glmnet 0.5811659 0.5785672
## 23 All.X.Inc#nzv.spatialSign#rcv#glmnet 0.5811659 0.5734523
## 35 RFE.X#spatialSign#rcv#glmnet 0.5802691 0.5794035
## 10 All.X#nzv#rcv#glmnet 0.5775785 0.5766539
## 26 RFE.X#nzv#rcv#glmnet 0.5775785 0.5762019
## 13 All.X#expoTrans#rcv#glmnet 0.5775785 0.5745421
## 29 RFE.X#expoTrans#rcv#glmnet 0.5775785 0.5745421
## 12 All.X#YeoJohnson#rcv#glmnet 0.5775785 0.5744824
## 28 RFE.X#YeoJohnson#rcv#glmnet 0.5775785 0.5744824
## 43 RFE.X##rcv#rpart 0.5775785 0.5547284
## 24 RFE.X##rcv#glmnet 0.5766816 0.5757966
## 21 All.X#conditionalX#rcv#glmnet 0.5766816 0.5757966
## 7 All.X##rcv#glmnet 0.5766816 0.5757966
## 6 Low.cor.X##rcv#glmnet 0.5766816 0.5757966
## 36 RFE.X#conditionalX#rcv#glmnet 0.5766816 0.5757966
## 9 All.X#zv#rcv#glmnet 0.5766816 0.5757966
## 25 RFE.X#zv#rcv#glmnet 0.5766816 0.5757966
## 31 RFE.X#scale#rcv#glmnet 0.5766816 0.5757966
## 30 RFE.X#center#rcv#glmnet 0.5766816 0.5757966
## 15 All.X#scale#rcv#glmnet 0.5766816 0.5757966
## 14 All.X#center#rcv#glmnet 0.5766816 0.5757966
## 33 RFE.X#range#rcv#glmnet 0.5766816 0.5757966
## 27 RFE.X#BoxCox#rcv#glmnet 0.5766816 0.5757966
## 17 All.X#range#rcv#glmnet 0.5766816 0.5757966
## 11 All.X#BoxCox#rcv#glmnet 0.5766816 0.5757966
## 32 RFE.X#center.scale#rcv#glmnet 0.5766816 0.5757966
## 16 All.X#center.scale#rcv#glmnet 0.5766816 0.5757966
## 18 All.X#zv.pca#rcv#glmnet 0.5748879 0.5798104
## 44 RFE.X##rcv#gbm 0.5730942 0.5783993
## 38 RFE.X#nzv.pca.spatialSign#rcv#glmnet 0.5713004 0.5742305
## 47 RFE.X##rcv#earth 0.5677130 0.5720864
## 41 RFE.X##rcv#glm 0.5668161 0.5690413
## 8 All.X##rcv#glm 0.5650224 0.5687249
## 46 RFE.X##rcv#rf 0.5650224 0.5510859
## 45 RFE.X##rcv#avNNet 0.5632287 0.5713598
## 42 RFE.X##rcv#nnet 0.5623318 0.5667713
## 34 RFE.X#ica#rcv#glmnet 0.5363229 0.5370894
## 19 All.X#ica#rcv#glmnet 0.5354260 0.5360626
## 5 Interact.High.cor.Y##rcv#glmnet 0.5345291 0.5242069
## 2 Random###myrandom_classfr 0.5300448 0.5181895
## 3 Max.cor.Y.rcv.1X1###glmnet 0.5300448 0.5102459
## 4 Max.cor.Y##rcv#rpart 0.5300448 0.5000646
## 1 MFO###myMFO_classfr 0.5300448 0.5000000
## max.AUCpROC.OOB min.elapsedtime.everything max.Accuracy.fit
## 48 0.5671007 1752.739 0.6169886
## 40 0.5601161 884.423 0.6288811
## 39 0.5792308 74.676 0.6459313
## 22 0.5572148 52.416 0.6478785
## 20 0.5570372 36.885 0.6492270
## 37 0.5597528 51.794 0.6462317
## 23 0.5556503 67.172 0.6440612
## 35 0.5570372 46.699 0.6490772
## 10 0.5550900 36.115 0.6475806
## 26 0.5531816 34.109 0.6466826
## 13 0.5559554 70.569 0.6463076
## 29 0.5559554 71.462 0.6462327
## 12 0.5559554 58.542 0.6465321
## 28 0.5559554 84.187 0.6466820
## 43 0.5677723 15.749 0.6207805
## 24 0.5588180 21.949 0.6475052
## 21 0.5588180 22.580 0.6471308
## 7 0.5588180 22.609 0.6471308
## 6 0.5588180 22.775 0.6471308
## 36 0.5588180 23.022 0.6475052
## 9 0.5588180 23.568 0.6471308
## 25 0.5588180 24.269 0.6475052
## 31 0.5588180 25.649 0.6475052
## 30 0.5588180 25.755 0.6475052
## 15 0.5588180 26.279 0.6471308
## 14 0.5588180 26.891 0.6471308
## 33 0.5588180 27.116 0.6475052
## 27 0.5588180 28.258 0.6475052
## 17 0.5588180 28.776 0.6471308
## 11 0.5588180 29.405 0.6471308
## 32 0.5588180 29.657 0.6475052
## 16 0.5588180 30.287 0.6471308
## 18 0.5717247 77.239 0.6421158
## 44 0.5638748 81.851 0.6477310
## 38 0.5545298 533.967 0.6480297
## 47 0.5641493 166.648 0.6400213
## 41 0.5497475 12.435 0.6255716
## 8 0.5487933 14.312 0.6254219
## 46 0.5382083 83.830 1.0000000
## 45 0.5593589 182.550 0.6367252
## 42 0.5584628 90.316 0.6155403
## 34 0.5121737 39.908 0.5603719
## 19 0.5133442 41.240 0.5607462
## 5 0.5218093 5.284 0.6250526
## 2 0.4836608 0.265 0.5299798
## 3 0.4999322 0.753 0.6240737
## 4 0.4999322 1.624 0.6227308
## 1 0.5000000 0.399 0.5299798
## opt.prob.threshold.fit opt.prob.threshold.OOB
## 48 0.50 0.60
## 40 0.50 0.60
## 39 0.50 0.50
## 22 0.50 0.60
## 20 0.50 0.60
## 37 0.50 0.60
## 23 0.50 0.60
## 35 0.50 0.60
## 10 0.50 0.60
## 26 0.50 0.55
## 13 0.50 0.55
## 29 0.50 0.55
## 12 0.50 0.55
## 28 0.50 0.55
## 43 0.50 0.50
## 24 0.50 0.55
## 21 0.50 0.55
## 7 0.50 0.55
## 6 0.50 0.55
## 36 0.50 0.55
## 9 0.50 0.55
## 25 0.50 0.55
## 31 0.50 0.55
## 30 0.50 0.55
## 15 0.50 0.55
## 14 0.50 0.55
## 33 0.50 0.55
## 27 0.50 0.55
## 17 0.50 0.55
## 11 0.50 0.55
## 32 0.50 0.55
## 16 0.50 0.55
## 18 0.50 0.50
## 44 0.50 0.60
## 38 0.50 0.55
## 47 0.50 0.60
## 41 0.50 0.65
## 8 0.50 0.65
## 46 0.50 0.65
## 45 0.50 0.65
## 42 0.50 0.65
## 34 0.50 0.55
## 19 0.50 0.55
## 5 0.50 0.70
## 2 0.55 0.55
## 3 0.45 0.65
## 4 0.50 0.65
## 1 0.50 0.50## [1] "Metrics used for model selection:"## ~-max.Accuracy.OOB - max.AUCROCR.OOB - max.AUCpROC.OOB + min.elapsedtime.everything -
## max.Accuracy.fit - opt.prob.threshold.OOB
## <environment: 0x7fd6bee61e98>## [1] "Best model id: RFE.X.Inc##rcv#bagEarth"## label step_major step_minor label_minor bgn end
## 1 fit.models_2_bgn 1 0 setup 9.264 12.933
## 2 fit.models_2_Ensemble 2 0 ensemble 12.934 NA
## elapsed
## 1 3.67
## 2 NA
## [1] "cor(Party.fctr.All.X..rcv.glmnet.prob, Party.fctr.All.X.BoxCox.rcv.glmnet.prob)=1.0000"
## [1] "cor(Party.fctr, Party.fctr.All.X..rcv.glmnet.prob)=0.3416"
## [1] "cor(Party.fctr, Party.fctr.All.X.BoxCox.rcv.glmnet.prob)=0.3416"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.All.X.BoxCox.rcv.glmnet.prob as highly
## correlated with Party.fctr.All.X..rcv.glmnet.prob## [1] "cor(Party.fctr.All.X..rcv.glmnet.prob, Party.fctr.All.X.center.rcv.glmnet.prob)=1.0000"
## [1] "cor(Party.fctr, Party.fctr.All.X..rcv.glmnet.prob)=0.3416"
## [1] "cor(Party.fctr, Party.fctr.All.X.center.rcv.glmnet.prob)=0.3416"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.All.X.center.rcv.glmnet.prob as highly
## correlated with Party.fctr.All.X..rcv.glmnet.prob## [1] "cor(Party.fctr.All.X..rcv.glmnet.prob, Party.fctr.All.X.center.scale.rcv.glmnet.prob)=1.0000"
## [1] "cor(Party.fctr, Party.fctr.All.X..rcv.glmnet.prob)=0.3416"
## [1] "cor(Party.fctr, Party.fctr.All.X.center.scale.rcv.glmnet.prob)=0.3416"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.All.X.center.scale.rcv.glmnet.prob as
## highly correlated with Party.fctr.All.X..rcv.glmnet.prob## [1] "cor(Party.fctr.All.X..rcv.glmnet.prob, Party.fctr.All.X.conditionalX.rcv.glmnet.prob)=1.0000"
## [1] "cor(Party.fctr, Party.fctr.All.X..rcv.glmnet.prob)=0.3416"
## [1] "cor(Party.fctr, Party.fctr.All.X.conditionalX.rcv.glmnet.prob)=0.3416"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.All.X.conditionalX.rcv.glmnet.prob as
## highly correlated with Party.fctr.All.X..rcv.glmnet.prob## [1] "cor(Party.fctr.All.X..rcv.glmnet.prob, Party.fctr.All.X.range.rcv.glmnet.prob)=1.0000"
## [1] "cor(Party.fctr, Party.fctr.All.X..rcv.glmnet.prob)=0.3416"
## [1] "cor(Party.fctr, Party.fctr.All.X.range.rcv.glmnet.prob)=0.3416"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.All.X..rcv.glmnet.prob as highly
## correlated with Party.fctr.All.X.range.rcv.glmnet.prob## [1] "cor(Party.fctr.All.X.YeoJohnson.rcv.glmnet.prob, Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob)=1.0000"
## [1] "cor(Party.fctr, Party.fctr.All.X.YeoJohnson.rcv.glmnet.prob)=0.3172"
## [1] "cor(Party.fctr, Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob)=0.3172"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.All.X.YeoJohnson.rcv.glmnet.prob as
## highly correlated with Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob## [1] "cor(Party.fctr.All.X.expoTrans.rcv.glmnet.prob, Party.fctr.RFE.X.expoTrans.rcv.glmnet.prob)=1.0000"
## [1] "cor(Party.fctr, Party.fctr.All.X.expoTrans.rcv.glmnet.prob)=0.3373"
## [1] "cor(Party.fctr, Party.fctr.RFE.X.expoTrans.rcv.glmnet.prob)=0.3373"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.RFE.X.expoTrans.rcv.glmnet.prob as
## highly correlated with Party.fctr.All.X.expoTrans.rcv.glmnet.prob## [1] "cor(Party.fctr.All.X.range.rcv.glmnet.prob, Party.fctr.All.X.scale.rcv.glmnet.prob)=1.0000"
## [1] "cor(Party.fctr, Party.fctr.All.X.range.rcv.glmnet.prob)=0.3416"
## [1] "cor(Party.fctr, Party.fctr.All.X.scale.rcv.glmnet.prob)=0.3416"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.All.X.scale.rcv.glmnet.prob as highly
## correlated with Party.fctr.All.X.range.rcv.glmnet.prob## [1] "cor(Party.fctr.All.X.range.rcv.glmnet.prob, Party.fctr.All.X.zv.rcv.glmnet.prob)=1.0000"
## [1] "cor(Party.fctr, Party.fctr.All.X.range.rcv.glmnet.prob)=0.3416"
## [1] "cor(Party.fctr, Party.fctr.All.X.zv.rcv.glmnet.prob)=0.3416"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.All.X.zv.rcv.glmnet.prob as highly
## correlated with Party.fctr.All.X.range.rcv.glmnet.prob## [1] "cor(Party.fctr.All.X.range.rcv.glmnet.prob, Party.fctr.Low.cor.X..rcv.glmnet.prob)=1.0000"
## [1] "cor(Party.fctr, Party.fctr.All.X.range.rcv.glmnet.prob)=0.3416"
## [1] "cor(Party.fctr, Party.fctr.Low.cor.X..rcv.glmnet.prob)=0.3416"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.Low.cor.X..rcv.glmnet.prob as highly
## correlated with Party.fctr.All.X.range.rcv.glmnet.prob## [1] "cor(Party.fctr.All.X.range.rcv.glmnet.prob, Party.fctr.RFE.X..rcv.glmnet.prob)=1.0000"
## [1] "cor(Party.fctr, Party.fctr.All.X.range.rcv.glmnet.prob)=0.3416"
## [1] "cor(Party.fctr, Party.fctr.RFE.X..rcv.glmnet.prob)=0.3416"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.RFE.X..rcv.glmnet.prob as highly
## correlated with Party.fctr.All.X.range.rcv.glmnet.prob## [1] "cor(Party.fctr.All.X.range.rcv.glmnet.prob, Party.fctr.RFE.X.BoxCox.rcv.glmnet.prob)=1.0000"
## [1] "cor(Party.fctr, Party.fctr.All.X.range.rcv.glmnet.prob)=0.3416"
## [1] "cor(Party.fctr, Party.fctr.RFE.X.BoxCox.rcv.glmnet.prob)=0.3416"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.RFE.X.BoxCox.rcv.glmnet.prob as highly
## correlated with Party.fctr.All.X.range.rcv.glmnet.prob## [1] "cor(Party.fctr.All.X.range.rcv.glmnet.prob, Party.fctr.RFE.X.center.rcv.glmnet.prob)=1.0000"
## [1] "cor(Party.fctr, Party.fctr.All.X.range.rcv.glmnet.prob)=0.3416"
## [1] "cor(Party.fctr, Party.fctr.RFE.X.center.rcv.glmnet.prob)=0.3416"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.RFE.X.center.rcv.glmnet.prob as highly
## correlated with Party.fctr.All.X.range.rcv.glmnet.prob## [1] "cor(Party.fctr.All.X.range.rcv.glmnet.prob, Party.fctr.RFE.X.center.scale.rcv.glmnet.prob)=1.0000"
## [1] "cor(Party.fctr, Party.fctr.All.X.range.rcv.glmnet.prob)=0.3416"
## [1] "cor(Party.fctr, Party.fctr.RFE.X.center.scale.rcv.glmnet.prob)=0.3416"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.RFE.X.center.scale.rcv.glmnet.prob as
## highly correlated with Party.fctr.All.X.range.rcv.glmnet.prob## [1] "cor(Party.fctr.All.X.range.rcv.glmnet.prob, Party.fctr.RFE.X.conditionalX.rcv.glmnet.prob)=1.0000"
## [1] "cor(Party.fctr, Party.fctr.All.X.range.rcv.glmnet.prob)=0.3416"
## [1] "cor(Party.fctr, Party.fctr.RFE.X.conditionalX.rcv.glmnet.prob)=0.3416"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.RFE.X.conditionalX.rcv.glmnet.prob as
## highly correlated with Party.fctr.All.X.range.rcv.glmnet.prob## [1] "cor(Party.fctr.All.X.range.rcv.glmnet.prob, Party.fctr.RFE.X.range.rcv.glmnet.prob)=1.0000"
## [1] "cor(Party.fctr, Party.fctr.All.X.range.rcv.glmnet.prob)=0.3416"
## [1] "cor(Party.fctr, Party.fctr.RFE.X.range.rcv.glmnet.prob)=0.3416"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.All.X.range.rcv.glmnet.prob as highly
## correlated with Party.fctr.RFE.X.range.rcv.glmnet.prob## [1] "cor(Party.fctr.RFE.X.range.rcv.glmnet.prob, Party.fctr.RFE.X.scale.rcv.glmnet.prob)=1.0000"
## [1] "cor(Party.fctr, Party.fctr.RFE.X.range.rcv.glmnet.prob)=0.3416"
## [1] "cor(Party.fctr, Party.fctr.RFE.X.scale.rcv.glmnet.prob)=0.3416"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.RFE.X.scale.rcv.glmnet.prob as highly
## correlated with Party.fctr.RFE.X.range.rcv.glmnet.prob## [1] "cor(Party.fctr.RFE.X.range.rcv.glmnet.prob, Party.fctr.RFE.X.zv.rcv.glmnet.prob)=1.0000"
## [1] "cor(Party.fctr, Party.fctr.RFE.X.range.rcv.glmnet.prob)=0.3416"
## [1] "cor(Party.fctr, Party.fctr.RFE.X.zv.rcv.glmnet.prob)=0.3416"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.RFE.X.zv.rcv.glmnet.prob as highly
## correlated with Party.fctr.RFE.X.range.rcv.glmnet.prob## [1] "cor(Party.fctr.All.X.spatialSign.rcv.glmnet.prob, Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob)=1.0000"
## [1] "cor(Party.fctr, Party.fctr.All.X.spatialSign.rcv.glmnet.prob)=0.3460"
## [1] "cor(Party.fctr, Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob)=0.3461"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.All.X.spatialSign.rcv.glmnet.prob as
## highly correlated with Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob## [1] "cor(Party.fctr.All.X.nzv.rcv.glmnet.prob, Party.fctr.RFE.X.nzv.rcv.glmnet.prob)=0.9999"
## [1] "cor(Party.fctr, Party.fctr.All.X.nzv.rcv.glmnet.prob)=0.3547"
## [1] "cor(Party.fctr, Party.fctr.RFE.X.nzv.rcv.glmnet.prob)=0.3543"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.RFE.X.nzv.rcv.glmnet.prob as highly
## correlated with Party.fctr.All.X.nzv.rcv.glmnet.prob## [1] "cor(Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob, Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.prob)=0.9998"
## [1] "cor(Party.fctr, Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob)=0.3588"
## [1] "cor(Party.fctr, Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.prob)=0.3584"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.prob
## as highly correlated with Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob## [1] "cor(Party.fctr.All.X.ica.rcv.glmnet.prob, Party.fctr.RFE.X.ica.rcv.glmnet.prob)=0.9989"
## [1] "cor(Party.fctr, Party.fctr.All.X.ica.rcv.glmnet.prob)=0.1197"
## [1] "cor(Party.fctr, Party.fctr.RFE.X.ica.rcv.glmnet.prob)=0.1193"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.RFE.X.ica.rcv.glmnet.prob as highly
## correlated with Party.fctr.All.X.ica.rcv.glmnet.prob## [1] "cor(Party.fctr.All.X..rcv.glm.prob, Party.fctr.RFE.X..rcv.glm.prob)=0.9986"
## [1] "cor(Party.fctr, Party.fctr.All.X..rcv.glm.prob)=0.3899"
## [1] "cor(Party.fctr, Party.fctr.RFE.X..rcv.glm.prob)=0.3893"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.RFE.X..rcv.glm.prob as highly
## correlated with Party.fctr.All.X..rcv.glm.prob## [1] "cor(Party.fctr.RFE.X.range.rcv.glmnet.prob, Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob)=0.9971"
## [1] "cor(Party.fctr, Party.fctr.RFE.X.range.rcv.glmnet.prob)=0.3416"
## [1] "cor(Party.fctr, Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob)=0.3461"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.RFE.X.range.rcv.glmnet.prob as highly
## correlated with Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob## [1] "cor(Party.fctr.All.X.nzv.rcv.glmnet.prob, Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob)=0.9963"
## [1] "cor(Party.fctr, Party.fctr.All.X.nzv.rcv.glmnet.prob)=0.3547"
## [1] "cor(Party.fctr, Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob)=0.3588"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.All.X.nzv.rcv.glmnet.prob as highly
## correlated with Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob## [1] "cor(Party.fctr.RFE.X..rcv.bagEarth.prob, Party.fctr.RFE.X.Inc..rcv.bagEarth.prob)=0.9908"
## [1] "cor(Party.fctr, Party.fctr.RFE.X..rcv.bagEarth.prob)=0.3700"
## [1] "cor(Party.fctr, Party.fctr.RFE.X.Inc..rcv.bagEarth.prob)=0.3758"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.RFE.X..rcv.bagEarth.prob as highly
## correlated with Party.fctr.RFE.X.Inc..rcv.bagEarth.prob## [1] "cor(Party.fctr.RFE.X..rcv.gbm.prob, Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob)=0.9874"
## [1] "cor(Party.fctr, Party.fctr.RFE.X..rcv.gbm.prob)=0.3378"
## [1] "cor(Party.fctr, Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob)=0.3461"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.RFE.X..rcv.gbm.prob as highly
## correlated with Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob## [1] "cor(Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.prob, Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob)=0.9872"
## [1] "cor(Party.fctr, Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.prob)=0.3559"
## [1] "cor(Party.fctr, Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob)=0.3588"## Warning in myfind_cor_features(feats_df =
## mdlEnsembleDf, obs_df = glbObsTrn[, : Identified
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.prob as highly correlated
## with Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob## [1] "cor(Party.fctr.All.X.zv.pca.rcv.glmnet.prob, Party.fctr.RFE.X.zv.pca.rcv.glmnet.prob)=0.9842"
## [1] "cor(Party.fctr, Party.fctr.All.X.zv.pca.rcv.glmnet.prob)=0.3640"
## [1] "cor(Party.fctr, Party.fctr.RFE.X.zv.pca.rcv.glmnet.prob)=0.3550"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.RFE.X.zv.pca.rcv.glmnet.prob as highly
## correlated with Party.fctr.All.X.zv.pca.rcv.glmnet.prob## [1] "cor(Party.fctr.All.X.expoTrans.rcv.glmnet.prob, Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob)=0.9817"
## [1] "cor(Party.fctr, Party.fctr.All.X.expoTrans.rcv.glmnet.prob)=0.3373"
## [1] "cor(Party.fctr, Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob)=0.3461"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.All.X.expoTrans.rcv.glmnet.prob as
## highly correlated with Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob## [1] "cor(Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob, Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob)=0.9768"
## [1] "cor(Party.fctr, Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob)=0.3588"
## [1] "cor(Party.fctr, Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob)=0.3461"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob as
## highly correlated with Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob## [1] "cor(Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob, Party.fctr.RFE.X.Inc..rcv.bagEarth.prob)=0.9633"
## [1] "cor(Party.fctr, Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob)=0.3588"
## [1] "cor(Party.fctr, Party.fctr.RFE.X.Inc..rcv.bagEarth.prob)=0.3758"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## as highly correlated with Party.fctr.RFE.X.Inc..rcv.bagEarth.prob## [1] "cor(Party.fctr.All.X.zv.pca.rcv.glmnet.prob, Party.fctr.RFE.X.Inc..rcv.bagEarth.prob)=0.9529"
## [1] "cor(Party.fctr, Party.fctr.All.X.zv.pca.rcv.glmnet.prob)=0.3640"
## [1] "cor(Party.fctr, Party.fctr.RFE.X.Inc..rcv.bagEarth.prob)=0.3758"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.All.X.zv.pca.rcv.glmnet.prob as highly
## correlated with Party.fctr.RFE.X.Inc..rcv.bagEarth.prob## [1] "cor(Party.fctr.RFE.X..rcv.earth.prob, Party.fctr.RFE.X.Inc..rcv.bagEarth.prob)=0.9498"
## [1] "cor(Party.fctr, Party.fctr.RFE.X..rcv.earth.prob)=0.3392"
## [1] "cor(Party.fctr, Party.fctr.RFE.X.Inc..rcv.bagEarth.prob)=0.3758"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.RFE.X..rcv.earth.prob as highly
## correlated with Party.fctr.RFE.X.Inc..rcv.bagEarth.prob## [1] "cor(Party.fctr.RFE.X.Inc..rcv.bagEarth.prob, Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.prob)=0.9269"
## [1] "cor(Party.fctr, Party.fctr.RFE.X.Inc..rcv.bagEarth.prob)=0.3758"
## [1] "cor(Party.fctr, Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.prob)=0.3250"## Warning in myfind_cor_features(feats_df =
## mdlEnsembleDf, obs_df = glbObsTrn[, : Identified
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.prob as highly correlated
## with Party.fctr.RFE.X.Inc..rcv.bagEarth.prob## [1] "cor(Party.fctr.All.X..rcv.glm.prob, Party.fctr.RFE.X.Inc..rcv.bagEarth.prob)=0.9256"
## [1] "cor(Party.fctr, Party.fctr.All.X..rcv.glm.prob)=0.3899"
## [1] "cor(Party.fctr, Party.fctr.RFE.X.Inc..rcv.bagEarth.prob)=0.3758"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.RFE.X.Inc..rcv.bagEarth.prob as highly
## correlated with Party.fctr.All.X..rcv.glm.prob## [1] "cor(Party.fctr.All.X..rcv.glm.prob, Party.fctr.RFE.X..rcv.nnet.prob)=0.8296"
## [1] "cor(Party.fctr, Party.fctr.All.X..rcv.glm.prob)=0.3899"
## [1] "cor(Party.fctr, Party.fctr.RFE.X..rcv.nnet.prob)=0.4019"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.All.X..rcv.glm.prob as highly
## correlated with Party.fctr.RFE.X..rcv.nnet.prob## [1] "cor(Party.fctr.RFE.X..rcv.rpart.prob, Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob)=0.8277"
## [1] "cor(Party.fctr, Party.fctr.RFE.X..rcv.rpart.prob)=0.2917"
## [1] "cor(Party.fctr, Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob)=0.3172"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.RFE.X..rcv.rpart.prob as highly
## correlated with Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob## [1] "cor(Party.fctr.Interact.High.cor.Y..rcv.glmnet.prob, Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob)=0.8108"
## [1] "cor(Party.fctr, Party.fctr.Interact.High.cor.Y..rcv.glmnet.prob)=0.2956"
## [1] "cor(Party.fctr, Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob)=0.3172"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.Interact.High.cor.Y..rcv.glmnet.prob as
## highly correlated with Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob## [1] "cor(Party.fctr.RFE.X..rcv.avNNet.prob, Party.fctr.RFE.X..rcv.nnet.prob)=0.8072"
## [1] "cor(Party.fctr, Party.fctr.RFE.X..rcv.avNNet.prob)=0.5679"
## [1] "cor(Party.fctr, Party.fctr.RFE.X..rcv.nnet.prob)=0.4019"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.RFE.X..rcv.nnet.prob as highly
## correlated with Party.fctr.RFE.X..rcv.avNNet.prob## [1] "cor(Party.fctr.RFE.X..rcv.avNNet.prob, Party.fctr.RFE.X..rcv.rf.prob)=0.7359"
## [1] "cor(Party.fctr, Party.fctr.RFE.X..rcv.avNNet.prob)=0.5679"
## [1] "cor(Party.fctr, Party.fctr.RFE.X..rcv.rf.prob)=0.8630"## Warning in myfind_cor_features(feats_df = mdlEnsembleDf, obs_df =
## glbObsTrn[, : Identified Party.fctr.RFE.X..rcv.avNNet.prob as highly
## correlated with Party.fctr.RFE.X..rcv.rf.prob## [1] "myfit_mdl: enter: 0.001000 secs"
## [1] "myfit_mdl: fitting model: Ensemble.auto.1##rcv#glmnet"
## [1] " indepVar: Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm"
## [1] "myfit_mdl: setup complete: 0.656000 secs"## Loading required package: glmnet## Loading required package: Matrix## Loaded glmnet 2.0-5## Aggregating results
## Selecting tuning parameters
## Fitting alpha = 0.55, lambda = 0.00437 on full training set
## [1] "myfit_mdl: train complete: 3.159000 secs"## Warning in plotCoef(x$beta, lambda = x$lambda, df = x$df, dev = x
## $dev.ratio, : 1 or less nonzero coefficients; glmnet plot is not meaningful
## Length Class Mode
## a0 54 -none- numeric
## beta 108 dgCMatrix S4
## df 54 -none- numeric
## dim 2 -none- numeric
## lambda 54 -none- numeric
## dev.ratio 54 -none- numeric
## nulldev 1 -none- numeric
## npasses 1 -none- numeric
## jerr 1 -none- numeric
## offset 1 -none- logical
## classnames 2 -none- character
## call 5 -none- call
## nobs 1 -none- numeric
## lambdaOpt 1 -none- numeric
## xNames 2 -none- character
## problemType 1 -none- character
## tuneValue 2 data.frame list
## obsLevels 2 -none- character
## [1] "min lambda > lambdaOpt:"
## (Intercept)
## -2.674041
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 5.297383
## [1] "max lambda < lambdaOpt:"
## (Intercept)
## -2.681547
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 5.312568
## [1] "myfit_mdl: train diagnostics complete: 3.662000 secs"## Loading required namespace: pROC## Loading required package: ROCR## Loading required package: gplots##
## Attaching package: 'gplots'## The following object is masked from 'package:stats':
##
## lowess
## Loading required package: sqldf## Loading required package: gsubfn## Loading required package: proto## Loading required package: RSQLite## Loading required package: DBI## Loading required package: tcltk
## Prediction
## Reference D R
## D 1672 688
## R 716 1377
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 6.847069e-01 3.666594e-01 6.708300e-01 6.983413e-01 5.299798e-01
## AccuracyPValue McnemarPValue
## 4.967183e-98 4.711700e-01
## Prediction
## Reference D R
## D 506 85
## R 377 147
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 5.856502e-01 1.411694e-01 5.560929e-01 6.147544e-01 5.300448e-01
## AccuracyPValue McnemarPValue
## 1.072064e-04 9.260468e-42
## [1] "myfit_mdl: predict complete: 18.830000 secs"
## id
## 1 Ensemble.auto.1##rcv#glmnet
## feats max.nTuningRuns
## 1 Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm 20
## min.elapsedtime.everything min.elapsedtime.final max.AUCpROC.fit
## 1 2.493 0.038 0.6831909
## max.Sens.fit max.Spec.fit max.AUCROCR.fit opt.prob.threshold.fit
## 1 0.7084746 0.6579073 0.7525082 0.5
## max.f.score.fit max.Accuracy.fit max.AccuracyLower.fit
## 1 0.6623377 0.6842608 0.67083
## max.AccuracyUpper.fit max.Kappa.fit max.AUCpROC.OOB max.Sens.OOB
## 1 0.6983413 0.365739 0.5677303 0.5972927
## max.Spec.OOB max.AUCROCR.OOB opt.prob.threshold.OOB max.f.score.OOB
## 1 0.5381679 0.5840728 0.65 0.3888889
## max.Accuracy.OOB max.AccuracyLower.OOB max.AccuracyUpper.OOB
## 1 0.5856502 0.5560929 0.6147544
## max.Kappa.OOB max.AccuracySD.fit max.KappaSD.fit
## 1 0.1411694 0.01430847 0.02877906
## [1] "myfit_mdl: exit: 18.950000 secs"
## glmnet variable importance
##
## Overall
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 100
## .rnorm 0
## Party.fctr.RFE.X..rcv.rf.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.5849997
## Party.fctr.RFE.X..rcv.avNNet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.8074771
## Party.fctr.RFE.X..rcv.nnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.7891566
## Party.fctr.All.X..rcv.glm.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9255725
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 1
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9528914
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9633405
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9667987
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9638358
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.range.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X..rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9532567
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.8952551
## Party.fctr.All.X.ica.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.3169478
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 1.0000000
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## 0.9667987
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## 0.9645156
## Party.fctr.All.X.range.rcv.glmnet.prob
## 0.9645156
## Party.fctr.All.X..rcv.glmnet.prob
## 0.9645156
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## 0.9638358
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## 0.9633405
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## 0.9532567
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## 0.9528914
## Party.fctr.All.X..rcv.glm.prob
## 0.9255725
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## 0.8952551
## Party.fctr.RFE.X..rcv.avNNet.prob
## 0.8074771
## Party.fctr.RFE.X..rcv.nnet.prob
## 0.7891566
## Party.fctr.RFE.X..rcv.rf.prob
## 0.5849997
## Party.fctr.All.X.ica.rcv.glmnet.prob
## 0.3169478
## [1] "myfit_mdl: enter: 0.000000 secs"
## [1] "myfit_mdl: fitting model: Ensemble.auto.2##rcv#glmnet"
## [1] " indepVar: Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob"
## [1] "myfit_mdl: setup complete: 0.719000 secs"
## Aggregating results
## Selecting tuning parameters
## Fitting alpha = 0.775, lambda = 0.000941 on full training set
## [1] "myfit_mdl: train complete: 3.089000 secs"## Warning in myfit_mdl(mdl_specs_lst = thsMdlSpecs, indepVar = thsIndepVar, :
## model's bestTune found at an extreme of tuneGrid for parameter: lambda
## Length Class Mode
## a0 54 -none- numeric
## beta 162 dgCMatrix S4
## df 54 -none- numeric
## dim 2 -none- numeric
## lambda 54 -none- numeric
## dev.ratio 54 -none- numeric
## nulldev 1 -none- numeric
## npasses 1 -none- numeric
## jerr 1 -none- numeric
## offset 1 -none- logical
## classnames 2 -none- character
## call 5 -none- call
## nobs 1 -none- numeric
## lambdaOpt 1 -none- numeric
## xNames 3 -none- character
## problemType 1 -none- character
## tuneValue 2 data.frame list
## obsLevels 2 -none- character
## [1] "min lambda > lambdaOpt:"
## (Intercept)
## -2.503402
## Party.fctr.All.X.ica.rcv.glmnet.prob
## -0.530552
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 5.455579
## [1] "max lambda < lambdaOpt:"
## [1] "Feats mismatch between coefs_left & rght:"
## [1] "(Intercept)"
## [2] ".rnorm"
## [3] "Party.fctr.All.X.ica.rcv.glmnet.prob"
## [4] "Party.fctr.RFE.X.Inc..rcv.bagEarth.prob"
## [1] "myfit_mdl: train diagnostics complete: 3.739000 secs"
## Prediction
## Reference D R
## D 1670 690
## R 715 1378
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 6.844824e-01 3.662597e-01 6.706029e-01 6.981195e-01 5.299798e-01
## AccuracyPValue McnemarPValue
## 9.570495e-98 5.219876e-01
## Prediction
## Reference D R
## D 505 86
## R 373 151
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 5.883408e-01 1.472226e-01 5.588042e-01 6.174100e-01 5.300448e-01
## AccuracyPValue McnemarPValue
## 5.162705e-05 1.195081e-40
## [1] "myfit_mdl: predict complete: 17.710000 secs"
## id
## 1 Ensemble.auto.2##rcv#glmnet
## feats
## 1 Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 20 2.362 0.038
## max.AUCpROC.fit max.Sens.fit max.Spec.fit max.AUCROCR.fit
## 1 0.6830061 0.7076271 0.6583851 0.752414
## opt.prob.threshold.fit max.f.score.fit max.Accuracy.fit
## 1 0.5 0.6623408 0.6846348
## max.AccuracyLower.fit max.AccuracyUpper.fit max.Kappa.fit
## 1 0.6706029 0.6981195 0.3665767
## max.AUCpROC.OOB max.Sens.OOB max.Spec.OOB max.AUCROCR.OOB
## 1 0.5667761 0.5972927 0.5362595 0.5840502
## opt.prob.threshold.OOB max.f.score.OOB max.Accuracy.OOB
## 1 0.65 0.3968463 0.5883408
## max.AccuracyLower.OOB max.AccuracyUpper.OOB max.Kappa.OOB
## 1 0.5588042 0.61741 0.1472226
## max.AccuracySD.fit max.KappaSD.fit
## 1 0.01270635 0.02553761
## [1] "myfit_mdl: exit: 17.831000 secs"
## glmnet variable importance
##
## Overall
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 100.000
## Party.fctr.All.X.ica.rcv.glmnet.prob 9.725
## .rnorm 0.000
## Party.fctr.RFE.X..rcv.rf.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.5849997
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.1846677
## Party.fctr.RFE.X..rcv.avNNet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.8074771
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3250021
## Party.fctr.RFE.X..rcv.nnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.7891566
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3454953
## Party.fctr.All.X..rcv.glm.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9255725
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2840822
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 1.0000000
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3169478
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9528914
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3166969
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9633405
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3611029
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9667987
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3553095
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9638358
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3316990
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.All.X.range.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.All.X..rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9532567
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2888450
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.8952551
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2233505
## Party.fctr.All.X.ica.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.3169478
## Party.fctr.All.X.ica.rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## 0.6622217
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## 0.6610541
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 0.6584739
## Party.fctr.All.X.ica.rcv.glmnet.prob
## 0.6584739
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## 0.6477674
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## 0.6439016
## Party.fctr.All.X.range.rcv.glmnet.prob
## 0.6439016
## Party.fctr.All.X..rcv.glmnet.prob
## 0.6439016
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## 0.6347942
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## 0.6210508
## Party.fctr.All.X..rcv.glm.prob
## 0.6048274
## Party.fctr.RFE.X..rcv.nnet.prob
## 0.5673259
## Party.fctr.RFE.X..rcv.avNNet.prob
## 0.5662396
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## 0.5593028
## Party.fctr.RFE.X..rcv.rf.prob
## 0.3848337
## [1] "myfit_mdl: enter: 0.000000 secs"
## [1] "myfit_mdl: fitting model: Ensemble.auto.3##rcv#glmnet"
## [1] " indepVar: Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob"
## [1] "myfit_mdl: setup complete: 0.723000 secs"
## Aggregating results
## Selecting tuning parameters
## Fitting alpha = 0.1, lambda = 0.212 on full training set
## [1] "myfit_mdl: train complete: 3.793000 secs"## Warning in myfit_mdl(mdl_specs_lst = thsMdlSpecs, indepVar = thsIndepVar, :
## model's bestTune found at an extreme of tuneGrid for parameter: alpha## Warning in myfit_mdl(mdl_specs_lst = thsMdlSpecs, indepVar = thsIndepVar, :
## model's bestTune found at an extreme of tuneGrid for parameter: lambda
## Length Class Mode
## a0 100 -none- numeric
## beta 400 dgCMatrix S4
## df 100 -none- numeric
## dim 2 -none- numeric
## lambda 100 -none- numeric
## dev.ratio 100 -none- numeric
## nulldev 1 -none- numeric
## npasses 1 -none- numeric
## jerr 1 -none- numeric
## offset 1 -none- logical
## classnames 2 -none- character
## call 5 -none- call
## nobs 1 -none- numeric
## lambdaOpt 1 -none- numeric
## xNames 4 -none- character
## problemType 1 -none- character
## tuneValue 2 data.frame list
## obsLevels 2 -none- character
## [1] "min lambda > lambdaOpt:"
## (Intercept)
## -2.012030
## Party.fctr.RFE.X..rcv.rf.prob
## 3.057882
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 0.885104
## [1] "max lambda < lambdaOpt:"
## (Intercept)
## -2.1012213
## Party.fctr.RFE.X..rcv.rf.prob
## 3.2278729
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 0.8976997
## [1] "myfit_mdl: train diagnostics complete: 4.658000 secs"
## [1] "mypredict_mdl: maxMetricDf:"
## threshold f.score accuracy
## 10 0.45 1 1
## 11 0.50 1 1
## Prediction
## Reference D R
## D 2360 0
## R 0 2093
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 1.0000000 1.0000000 0.9991719 1.0000000 0.5299798
## AccuracyPValue McnemarPValue
## 0.0000000 NaN
## Prediction
## Reference D R
## D 431 160
## R 320 204
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 5.695067e-01 1.206740e-01 5.398436e-01 5.988021e-01 5.300448e-01
## AccuracyPValue McnemarPValue
## 4.463755e-03 3.948235e-13
## [1] "myfit_mdl: predict complete: 18.236000 secs"
## id
## 1 Ensemble.auto.3##rcv#glmnet
## feats
## 1 Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 25 3.061 0.086
## max.AUCpROC.fit max.Sens.fit max.Spec.fit max.AUCROCR.fit
## 1 1 1 1 1
## opt.prob.threshold.fit max.f.score.fit max.Accuracy.fit
## 1 0.5 1 1
## max.AccuracyLower.fit max.AccuracyUpper.fit max.Kappa.fit
## 1 0.9991719 1 1
## max.AUCpROC.OOB max.Sens.OOB max.Spec.OOB max.AUCROCR.OOB
## 1 0.5510956 0.5888325 0.5133588 0.560904
## opt.prob.threshold.OOB max.f.score.OOB max.Accuracy.OOB
## 1 0.55 0.4594595 0.5695067
## max.AccuracyLower.OOB max.AccuracyUpper.OOB max.Kappa.OOB
## 1 0.5398436 0.5988021 0.120674
## max.AccuracySD.fit max.KappaSD.fit
## 1 0 0
## [1] "myfit_mdl: exit: 18.361000 secs"
## glmnet variable importance
##
## Overall
## Party.fctr.RFE.X..rcv.rf.prob 100.00
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 28.02
## .rnorm 0.00
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X..rcv.rf.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.5849997
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.1846677
## Party.fctr.RFE.X..rcv.rf.prob 1.0000000
## Party.fctr.RFE.X..rcv.avNNet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.8074771
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3250021
## Party.fctr.RFE.X..rcv.rf.prob 0.7359313
## Party.fctr.RFE.X..rcv.nnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.7891566
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3454953
## Party.fctr.RFE.X..rcv.rf.prob 0.5627205
## Party.fctr.All.X..rcv.glm.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9255725
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2840822
## Party.fctr.RFE.X..rcv.rf.prob 0.5767768
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 1.0000000
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3169478
## Party.fctr.RFE.X..rcv.rf.prob 0.5849997
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9528914
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3166969
## Party.fctr.RFE.X..rcv.rf.prob 0.5625146
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9633405
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3611029
## Party.fctr.RFE.X..rcv.rf.prob 0.5695557
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9667987
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3553095
## Party.fctr.RFE.X..rcv.rf.prob 0.5659386
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9638358
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3316990
## Party.fctr.RFE.X..rcv.rf.prob 0.5638367
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.All.X.range.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.All.X..rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9532567
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2888450
## Party.fctr.RFE.X..rcv.rf.prob 0.5523091
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.8952551
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2233505
## Party.fctr.RFE.X..rcv.rf.prob 0.5177145
## Party.fctr.All.X.ica.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.3169478
## Party.fctr.All.X.ica.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.rf.prob 0.1846677
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 0.6339825
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## 0.6313330
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## 0.6293490
## Party.fctr.RFE.X..rcv.avNNet.prob
## 0.6228035
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## 0.6197905
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## 0.6157797
## Party.fctr.All.X.range.rcv.glmnet.prob
## 0.6157797
## Party.fctr.All.X..rcv.glmnet.prob
## 0.6157797
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## 0.6107010
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## 0.5981369
## Party.fctr.All.X..rcv.glm.prob
## 0.5954772
## Party.fctr.RFE.X..rcv.rf.prob
## 0.5898891
## Party.fctr.RFE.X..rcv.nnet.prob
## 0.5657908
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## 0.5454400
## Party.fctr.All.X.ica.rcv.glmnet.prob
## 0.5005385
## [1] "myfit_mdl: enter: 0.000000 secs"
## [1] "myfit_mdl: fitting model: Ensemble.auto.4##rcv#glmnet"
## [1] " indepVar: Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob"
## [1] "myfit_mdl: setup complete: 0.723000 secs"
## Aggregating results
## Selecting tuning parameters
## Fitting alpha = 0.325, lambda = 0.212 on full training set
## [1] "myfit_mdl: train complete: 3.563000 secs"## Warning in myfit_mdl(mdl_specs_lst = thsMdlSpecs, indepVar = thsIndepVar, :
## model's bestTune found at an extreme of tuneGrid for parameter: lambda
## Length Class Mode
## a0 100 -none- numeric
## beta 500 dgCMatrix S4
## df 100 -none- numeric
## dim 2 -none- numeric
## lambda 100 -none- numeric
## dev.ratio 100 -none- numeric
## nulldev 1 -none- numeric
## npasses 1 -none- numeric
## jerr 1 -none- numeric
## offset 1 -none- logical
## classnames 2 -none- character
## call 5 -none- call
## nobs 1 -none- numeric
## lambdaOpt 1 -none- numeric
## xNames 5 -none- character
## problemType 1 -none- character
## tuneValue 2 data.frame list
## obsLevels 2 -none- character
## [1] "min lambda > lambdaOpt:"
## (Intercept)
## -1.7940650
## Party.fctr.RFE.X..rcv.rf.prob
## 3.3138947
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 0.1756913
## [1] "max lambda < lambdaOpt:"
## (Intercept)
## -1.8984063
## Party.fctr.RFE.X..rcv.rf.prob
## 3.5099540
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 0.1938878
## [1] "myfit_mdl: train diagnostics complete: 4.201000 secs"
## [1] "mypredict_mdl: maxMetricDf:"
## threshold f.score accuracy
## 9 0.40 1 1
## 10 0.45 1 1
## 11 0.50 1 1
## 12 0.55 1 1
## Prediction
## Reference D R
## D 2360 0
## R 0 2093
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 1.0000000 1.0000000 0.9991719 1.0000000 0.5299798
## AccuracyPValue McnemarPValue
## 0.0000000 NaN
## Prediction
## Reference D R
## D 524 67
## R 420 104
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 5.632287e-01 8.848497e-02 5.335330e-01 5.925900e-01 5.300448e-01
## AccuracyPValue McnemarPValue
## 1.415177e-02 2.819807e-57
## [1] "myfit_mdl: predict complete: 17.561000 secs"
## id
## 1 Ensemble.auto.4##rcv#glmnet
## feats
## 1 Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 25 2.831 0.092
## max.AUCpROC.fit max.Sens.fit max.Spec.fit max.AUCROCR.fit
## 1 1 1 1 1
## opt.prob.threshold.fit max.f.score.fit max.Accuracy.fit
## 1 0.5 1 1
## max.AccuracyLower.fit max.AccuracyUpper.fit max.Kappa.fit
## 1 0.9991719 1 1
## max.AUCpROC.OOB max.Sens.OOB max.Spec.OOB max.AUCROCR.OOB
## 1 0.5491679 0.6040609 0.4942748 0.5536838
## opt.prob.threshold.OOB max.f.score.OOB max.Accuracy.OOB
## 1 0.6 0.2992806 0.5632287
## max.AccuracyLower.OOB max.AccuracyUpper.OOB max.Kappa.OOB
## 1 0.533533 0.59259 0.08848497
## max.AccuracySD.fit max.KappaSD.fit
## 1 0 0
## [1] "myfit_mdl: exit: 17.687000 secs"
## glmnet variable importance
##
## Overall
## Party.fctr.RFE.X..rcv.rf.prob 100.000
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 5.333
## .rnorm 0.000
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.000
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.000
## Party.fctr.RFE.X..rcv.rf.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.5849997
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.1846677
## Party.fctr.RFE.X..rcv.rf.prob 1.0000000
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.5177145
## Party.fctr.RFE.X..rcv.avNNet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.8074771
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3250021
## Party.fctr.RFE.X..rcv.rf.prob 0.7359313
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.7207729
## Party.fctr.RFE.X..rcv.nnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.7891566
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3454953
## Party.fctr.RFE.X..rcv.rf.prob 0.5627205
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.6727984
## Party.fctr.All.X..rcv.glm.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9255725
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2840822
## Party.fctr.RFE.X..rcv.rf.prob 0.5767768
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8062761
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 1.0000000
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3169478
## Party.fctr.RFE.X..rcv.rf.prob 0.5849997
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8952551
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9528914
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3166969
## Party.fctr.RFE.X..rcv.rf.prob 0.5625146
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8566523
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9633405
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3611029
## Party.fctr.RFE.X..rcv.rf.prob 0.5695557
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8894315
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9667987
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3553095
## Party.fctr.RFE.X..rcv.rf.prob 0.5659386
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8949164
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9638358
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3316990
## Party.fctr.RFE.X..rcv.rf.prob 0.5638367
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9109802
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.All.X.range.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.All.X..rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9532567
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2888450
## Party.fctr.RFE.X..rcv.rf.prob 0.5523091
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9683422
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.8952551
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2233505
## Party.fctr.RFE.X..rcv.rf.prob 0.5177145
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.ica.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.3169478
## Party.fctr.All.X.ica.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.rf.prob 0.1846677
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.2233505
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 0.6993007
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## 0.6958577
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## 0.6957408
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## 0.6925879
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## 0.6906882
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## 0.6899023
## Party.fctr.All.X.range.rcv.glmnet.prob
## 0.6899023
## Party.fctr.All.X..rcv.glmnet.prob
## 0.6899023
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## 0.6721888
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## 0.6590800
## Party.fctr.All.X..rcv.glm.prob
## 0.6481769
## Party.fctr.RFE.X..rcv.avNNet.prob
## 0.6472959
## Party.fctr.RFE.X..rcv.nnet.prob
## 0.5925427
## Party.fctr.RFE.X..rcv.rf.prob
## 0.5718455
## Party.fctr.All.X.ica.rcv.glmnet.prob
## 0.4312415
## [1] "myfit_mdl: enter: 0.000000 secs"
## [1] "myfit_mdl: fitting model: Ensemble.auto.5##rcv#glmnet"
## [1] " indepVar: Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob"
## [1] "myfit_mdl: setup complete: 0.721000 secs"
## Aggregating results
## Selecting tuning parameters
## Fitting alpha = 0.325, lambda = 0.212 on full training set
## [1] "myfit_mdl: train complete: 4.043000 secs"## Warning in myfit_mdl(mdl_specs_lst = thsMdlSpecs, indepVar = thsIndepVar, :
## model's bestTune found at an extreme of tuneGrid for parameter: lambda
## Length Class Mode
## a0 100 -none- numeric
## beta 600 dgCMatrix S4
## df 100 -none- numeric
## dim 2 -none- numeric
## lambda 100 -none- numeric
## dev.ratio 100 -none- numeric
## nulldev 1 -none- numeric
## npasses 1 -none- numeric
## jerr 1 -none- numeric
## offset 1 -none- logical
## classnames 2 -none- character
## call 5 -none- call
## nobs 1 -none- numeric
## lambdaOpt 1 -none- numeric
## xNames 6 -none- character
## problemType 1 -none- character
## tuneValue 2 data.frame list
## obsLevels 2 -none- character
## [1] "min lambda > lambdaOpt:"
## (Intercept)
## -1.86614523
## Party.fctr.RFE.X..rcv.nnet.prob
## 0.35845097
## Party.fctr.RFE.X..rcv.rf.prob
## 3.27130151
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 0.01194062
## [1] "max lambda < lambdaOpt:"
## (Intercept)
## -1.97295348
## Party.fctr.RFE.X..rcv.nnet.prob
## 0.38133148
## Party.fctr.RFE.X..rcv.rf.prob
## 3.46477987
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 0.01501864
## [1] "myfit_mdl: train diagnostics complete: 4.682000 secs"
## [1] "mypredict_mdl: maxMetricDf:"
## threshold f.score accuracy
## 9 0.40 1 1
## 10 0.45 1 1
## 11 0.50 1 1
## 12 0.55 1 1
## Prediction
## Reference D R
## D 2360 0
## R 0 2093
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 1.0000000 1.0000000 0.9991719 1.0000000 0.5299798
## AccuracyPValue McnemarPValue
## 0.0000000 NaN
## Prediction
## Reference D R
## D 515 76
## R 412 112
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 5.623318e-01 8.835632e-02 5.326318e-01 5.917021e-01 5.300448e-01
## AccuracyPValue McnemarPValue
## 1.646917e-02 6.054050e-52
## [1] "myfit_mdl: predict complete: 18.189000 secs"
## id
## 1 Ensemble.auto.5##rcv#glmnet
## feats
## 1 Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 25 3.313 0.1
## max.AUCpROC.fit max.Sens.fit max.Spec.fit max.AUCROCR.fit
## 1 1 1 1 1
## opt.prob.threshold.fit max.f.score.fit max.Accuracy.fit
## 1 0.5 1 1
## max.AccuracyLower.fit max.AccuracyUpper.fit max.Kappa.fit
## 1 0.9991719 1 1
## max.AUCpROC.OOB max.Sens.OOB max.Spec.OOB max.AUCROCR.OOB
## 1 0.5401861 0.5803723 0.5 0.5556826
## opt.prob.threshold.OOB max.f.score.OOB max.Accuracy.OOB
## 1 0.6 0.3146067 0.5623318
## max.AccuracyLower.OOB max.AccuracyUpper.OOB max.Kappa.OOB
## 1 0.5326318 0.5917021 0.08835632
## max.AccuracySD.fit max.KappaSD.fit
## 1 0 0
## [1] "myfit_mdl: exit: 18.380000 secs"
## glmnet variable importance
##
## Overall
## Party.fctr.RFE.X..rcv.rf.prob 100.0000
## Party.fctr.RFE.X..rcv.nnet.prob 10.9644
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.3748
## .rnorm 0.0000
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.0000
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.0000
## Party.fctr.RFE.X..rcv.rf.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.5849997
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.1846677
## Party.fctr.RFE.X..rcv.rf.prob 1.0000000
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.5177145
## Party.fctr.RFE.X..rcv.nnet.prob 0.5627205
## Party.fctr.RFE.X..rcv.avNNet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.8074771
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3250021
## Party.fctr.RFE.X..rcv.rf.prob 0.7359313
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.7207729
## Party.fctr.RFE.X..rcv.nnet.prob 0.8072394
## Party.fctr.RFE.X..rcv.nnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.7891566
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3454953
## Party.fctr.RFE.X..rcv.rf.prob 0.5627205
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.6727984
## Party.fctr.RFE.X..rcv.nnet.prob 1.0000000
## Party.fctr.All.X..rcv.glm.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9255725
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2840822
## Party.fctr.RFE.X..rcv.rf.prob 0.5767768
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8062761
## Party.fctr.RFE.X..rcv.nnet.prob 0.8296469
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 1.0000000
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3169478
## Party.fctr.RFE.X..rcv.rf.prob 0.5849997
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8952551
## Party.fctr.RFE.X..rcv.nnet.prob 0.7891566
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9528914
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3166969
## Party.fctr.RFE.X..rcv.rf.prob 0.5625146
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8566523
## Party.fctr.RFE.X..rcv.nnet.prob 0.7759781
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9633405
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3611029
## Party.fctr.RFE.X..rcv.rf.prob 0.5695557
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8894315
## Party.fctr.RFE.X..rcv.nnet.prob 0.7771171
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9667987
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3553095
## Party.fctr.RFE.X..rcv.rf.prob 0.5659386
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8949164
## Party.fctr.RFE.X..rcv.nnet.prob 0.7687517
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9638358
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3316990
## Party.fctr.RFE.X..rcv.rf.prob 0.5638367
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9109802
## Party.fctr.RFE.X..rcv.nnet.prob 0.7538010
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.All.X.range.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.All.X..rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9532567
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2888450
## Party.fctr.RFE.X..rcv.rf.prob 0.5523091
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9683422
## Party.fctr.RFE.X..rcv.nnet.prob 0.7286555
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.8952551
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2233505
## Party.fctr.RFE.X..rcv.rf.prob 0.5177145
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.nnet.prob 0.6727984
## Party.fctr.All.X.ica.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.3169478
## Party.fctr.All.X.ica.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.rf.prob 0.1846677
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.2233505
## Party.fctr.RFE.X..rcv.nnet.prob 0.3454953
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 0.7172719
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## 0.7121095
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## 0.7103430
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## 0.7048305
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## 0.7009300
## Party.fctr.All.X.range.rcv.glmnet.prob
## 0.7009300
## Party.fctr.All.X..rcv.glmnet.prob
## 0.7009300
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## 0.6982817
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## 0.6929467
## Party.fctr.All.X..rcv.glm.prob
## 0.6844709
## Party.fctr.RFE.X..rcv.avNNet.prob
## 0.6792846
## Party.fctr.RFE.X..rcv.nnet.prob
## 0.6740342
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## 0.6618237
## Party.fctr.RFE.X..rcv.rf.prob
## 0.5700205
## Party.fctr.All.X.ica.rcv.glmnet.prob
## 0.4140923
## [1] "myfit_mdl: enter: 0.000000 secs"
## [1] "myfit_mdl: fitting model: Ensemble.auto.6##rcv#glmnet"
## [1] " indepVar: Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob,Party.fctr.RFE.X..rcv.avNNet.prob"
## [1] "myfit_mdl: setup complete: 0.731000 secs"
## Aggregating results
## Selecting tuning parameters
## Fitting alpha = 0.55, lambda = 0.212 on full training set
## [1] "myfit_mdl: train complete: 3.712000 secs"## Warning in myfit_mdl(mdl_specs_lst = thsMdlSpecs, indepVar = thsIndepVar, :
## model's bestTune found at an extreme of tuneGrid for parameter: lambda
## Length Class Mode
## a0 96 -none- numeric
## beta 672 dgCMatrix S4
## df 96 -none- numeric
## dim 2 -none- numeric
## lambda 96 -none- numeric
## dev.ratio 96 -none- numeric
## nulldev 1 -none- numeric
## npasses 1 -none- numeric
## jerr 1 -none- numeric
## offset 1 -none- logical
## classnames 2 -none- character
## call 5 -none- call
## nobs 1 -none- numeric
## lambdaOpt 1 -none- numeric
## xNames 7 -none- character
## problemType 1 -none- character
## tuneValue 2 data.frame list
## obsLevels 2 -none- character
## [1] "min lambda > lambdaOpt:"
## (Intercept) Party.fctr.RFE.X..rcv.avNNet.prob
## -1.8570366 0.4406734
## Party.fctr.RFE.X..rcv.rf.prob
## 3.1914988
## [1] "max lambda < lambdaOpt:"
## (Intercept) Party.fctr.RFE.X..rcv.avNNet.prob
## -1.9848102 0.4918495
## Party.fctr.RFE.X..rcv.rf.prob
## 3.4039550
## [1] "myfit_mdl: train diagnostics complete: 4.378000 secs"
## [1] "mypredict_mdl: maxMetricDf:"
## threshold f.score accuracy
## 9 0.40 1 1
## 10 0.45 1 1
## 11 0.50 1 1
## 12 0.55 1 1
## Prediction
## Reference D R
## D 2360 0
## R 0 2093
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 1.0000000 1.0000000 0.9991719 1.0000000 0.5299798
## AccuracyPValue McnemarPValue
## 0.0000000 NaN
## Prediction
## Reference D R
## D 512 79
## R 405 119
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 5.659193e-01 9.684265e-02 5.362369e-01 5.952529e-01 5.300448e-01
## AccuracyPValue McnemarPValue
## 8.804008e-03 2.196421e-49
## [1] "myfit_mdl: predict complete: 18.352000 secs"
## id
## 1 Ensemble.auto.6##rcv#glmnet
## feats
## 1 Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob,Party.fctr.RFE.X..rcv.avNNet.prob
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 25 2.971 0.102
## max.AUCpROC.fit max.Sens.fit max.Spec.fit max.AUCROCR.fit
## 1 1 1 1 1
## opt.prob.threshold.fit max.f.score.fit max.Accuracy.fit
## 1 0.5 1 1
## max.AccuracyLower.fit max.AccuracyUpper.fit max.Kappa.fit
## 1 0.9991719 1 1
## max.AUCpROC.OOB max.Sens.OOB max.Spec.OOB max.AUCROCR.OOB
## 1 0.552158 0.5871404 0.5171756 0.5560006
## opt.prob.threshold.OOB max.f.score.OOB max.Accuracy.OOB
## 1 0.6 0.3296399 0.5659193
## max.AccuracyLower.OOB max.AccuracyUpper.OOB max.Kappa.OOB
## 1 0.5362369 0.5952529 0.09684265
## max.AccuracySD.fit max.KappaSD.fit
## 1 0 0
## [1] "myfit_mdl: exit: 18.482000 secs"
## glmnet variable importance
##
## Overall
## Party.fctr.RFE.X..rcv.rf.prob 100.00
## Party.fctr.RFE.X..rcv.avNNet.prob 14.13
## .rnorm 0.00
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.00
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X..rcv.nnet.prob 0.00
## Party.fctr.RFE.X..rcv.rf.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.5849997
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.1846677
## Party.fctr.RFE.X..rcv.rf.prob 1.0000000
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.5177145
## Party.fctr.RFE.X..rcv.nnet.prob 0.5627205
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7359313
## Party.fctr.RFE.X..rcv.avNNet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.8074771
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3250021
## Party.fctr.RFE.X..rcv.rf.prob 0.7359313
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.7207729
## Party.fctr.RFE.X..rcv.nnet.prob 0.8072394
## Party.fctr.RFE.X..rcv.avNNet.prob 1.0000000
## Party.fctr.RFE.X..rcv.nnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.7891566
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3454953
## Party.fctr.RFE.X..rcv.rf.prob 0.5627205
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.6727984
## Party.fctr.RFE.X..rcv.nnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8072394
## Party.fctr.All.X..rcv.glm.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9255725
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2840822
## Party.fctr.RFE.X..rcv.rf.prob 0.5767768
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8062761
## Party.fctr.RFE.X..rcv.nnet.prob 0.8296469
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8252145
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 1.0000000
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3169478
## Party.fctr.RFE.X..rcv.rf.prob 0.5849997
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8952551
## Party.fctr.RFE.X..rcv.nnet.prob 0.7891566
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8074771
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9528914
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3166969
## Party.fctr.RFE.X..rcv.rf.prob 0.5625146
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8566523
## Party.fctr.RFE.X..rcv.nnet.prob 0.7759781
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8074028
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9633405
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3611029
## Party.fctr.RFE.X..rcv.rf.prob 0.5695557
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8894315
## Party.fctr.RFE.X..rcv.nnet.prob 0.7771171
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8101480
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9667987
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3553095
## Party.fctr.RFE.X..rcv.rf.prob 0.5659386
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8949164
## Party.fctr.RFE.X..rcv.nnet.prob 0.7687517
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7956346
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9638358
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3316990
## Party.fctr.RFE.X..rcv.rf.prob 0.5638367
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9109802
## Party.fctr.RFE.X..rcv.nnet.prob 0.7538010
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7745838
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7621485
## Party.fctr.All.X.range.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7621485
## Party.fctr.All.X..rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7621485
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9532567
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2888450
## Party.fctr.RFE.X..rcv.rf.prob 0.5523091
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9683422
## Party.fctr.RFE.X..rcv.nnet.prob 0.7286555
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7599499
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.8952551
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2233505
## Party.fctr.RFE.X..rcv.rf.prob 0.5177145
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.nnet.prob 0.6727984
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7207729
## Party.fctr.All.X.ica.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.3169478
## Party.fctr.All.X.ica.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.rf.prob 0.1846677
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.2233505
## Party.fctr.RFE.X..rcv.nnet.prob 0.3454953
## Party.fctr.RFE.X..rcv.avNNet.prob 0.3250021
## Party.fctr.RFE.X..rcv.avNNet.prob
## 0.7327371
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 0.7323061
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## 0.7284493
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## 0.7245583
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## 0.7164561
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## 0.7120227
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## 0.7111331
## Party.fctr.All.X.range.rcv.glmnet.prob
## 0.7111331
## Party.fctr.All.X..rcv.glmnet.prob
## 0.7111331
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## 0.7085597
## Party.fctr.All.X..rcv.glm.prob
## 0.7079282
## Party.fctr.RFE.X..rcv.nnet.prob
## 0.6962350
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## 0.6716486
## Party.fctr.RFE.X..rcv.rf.prob
## 0.5976723
## Party.fctr.All.X.ica.rcv.glmnet.prob
## 0.3992439
## [1] "myfit_mdl: enter: 0.000000 secs"
## [1] "myfit_mdl: fitting model: Ensemble.auto.7##rcv#glmnet"
## [1] " indepVar: Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob,Party.fctr.RFE.X..rcv.avNNet.prob,Party.fctr.All.X..rcv.glm.prob"
## [1] "myfit_mdl: setup complete: 0.727000 secs"
## Aggregating results
## Selecting tuning parameters
## Fitting alpha = 0.55, lambda = 0.212 on full training set
## [1] "myfit_mdl: train complete: 3.883000 secs"## Warning in myfit_mdl(mdl_specs_lst = thsMdlSpecs, indepVar = thsIndepVar, :
## model's bestTune found at an extreme of tuneGrid for parameter: lambda
## Length Class Mode
## a0 96 -none- numeric
## beta 768 dgCMatrix S4
## df 96 -none- numeric
## dim 2 -none- numeric
## lambda 96 -none- numeric
## dev.ratio 96 -none- numeric
## nulldev 1 -none- numeric
## npasses 1 -none- numeric
## jerr 1 -none- numeric
## offset 1 -none- logical
## classnames 2 -none- character
## call 5 -none- call
## nobs 1 -none- numeric
## lambdaOpt 1 -none- numeric
## xNames 8 -none- character
## problemType 1 -none- character
## tuneValue 2 data.frame list
## obsLevels 2 -none- character
## [1] "min lambda > lambdaOpt:"
## (Intercept) Party.fctr.RFE.X..rcv.avNNet.prob
## -1.8570366 0.4406734
## Party.fctr.RFE.X..rcv.rf.prob
## 3.1914988
## [1] "max lambda < lambdaOpt:"
## (Intercept) Party.fctr.RFE.X..rcv.avNNet.prob
## -1.9848102 0.4918495
## Party.fctr.RFE.X..rcv.rf.prob
## 3.4039550
## [1] "myfit_mdl: train diagnostics complete: 4.675000 secs"
## [1] "mypredict_mdl: maxMetricDf:"
## threshold f.score accuracy
## 9 0.40 1 1
## 10 0.45 1 1
## 11 0.50 1 1
## 12 0.55 1 1
## Prediction
## Reference D R
## D 2360 0
## R 0 2093
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 1.0000000 1.0000000 0.9991719 1.0000000 0.5299798
## AccuracyPValue McnemarPValue
## 0.0000000 NaN
## Prediction
## Reference D R
## D 512 79
## R 405 119
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 5.659193e-01 9.684265e-02 5.362369e-01 5.952529e-01 5.300448e-01
## AccuracyPValue McnemarPValue
## 8.804008e-03 2.196421e-49
## [1] "myfit_mdl: predict complete: 18.379000 secs"
## id
## 1 Ensemble.auto.7##rcv#glmnet
## feats
## 1 Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob,Party.fctr.RFE.X..rcv.avNNet.prob,Party.fctr.All.X..rcv.glm.prob
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 25 3.146 0.104
## max.AUCpROC.fit max.Sens.fit max.Spec.fit max.AUCROCR.fit
## 1 1 1 1 1
## opt.prob.threshold.fit max.f.score.fit max.Accuracy.fit
## 1 0.5 1 1
## max.AccuracyLower.fit max.AccuracyUpper.fit max.Kappa.fit
## 1 0.9991719 1 1
## max.AUCpROC.OOB max.Sens.OOB max.Spec.OOB max.AUCROCR.OOB
## 1 0.552158 0.5871404 0.5171756 0.5560006
## opt.prob.threshold.OOB max.f.score.OOB max.Accuracy.OOB
## 1 0.6 0.3296399 0.5659193
## max.AccuracyLower.OOB max.AccuracyUpper.OOB max.Kappa.OOB
## 1 0.5362369 0.5952529 0.09684265
## max.AccuracySD.fit max.KappaSD.fit
## 1 0 0
## [1] "myfit_mdl: exit: 18.798000 secs"
## glmnet variable importance
##
## Overall
## Party.fctr.RFE.X..rcv.rf.prob 100.00
## Party.fctr.RFE.X..rcv.avNNet.prob 14.13
## .rnorm 0.00
## Party.fctr.RFE.X..rcv.nnet.prob 0.00
## Party.fctr.All.X..rcv.glm.prob 0.00
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.00
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X..rcv.rf.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.5849997
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.1846677
## Party.fctr.RFE.X..rcv.rf.prob 1.0000000
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.5177145
## Party.fctr.RFE.X..rcv.nnet.prob 0.5627205
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7359313
## Party.fctr.All.X..rcv.glm.prob 0.5767768
## Party.fctr.RFE.X..rcv.avNNet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.8074771
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3250021
## Party.fctr.RFE.X..rcv.rf.prob 0.7359313
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.7207729
## Party.fctr.RFE.X..rcv.nnet.prob 0.8072394
## Party.fctr.RFE.X..rcv.avNNet.prob 1.0000000
## Party.fctr.All.X..rcv.glm.prob 0.8252145
## Party.fctr.RFE.X..rcv.nnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.7891566
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3454953
## Party.fctr.RFE.X..rcv.rf.prob 0.5627205
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.6727984
## Party.fctr.RFE.X..rcv.nnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8072394
## Party.fctr.All.X..rcv.glm.prob 0.8296469
## Party.fctr.All.X..rcv.glm.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9255725
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2840822
## Party.fctr.RFE.X..rcv.rf.prob 0.5767768
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8062761
## Party.fctr.RFE.X..rcv.nnet.prob 0.8296469
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8252145
## Party.fctr.All.X..rcv.glm.prob 1.0000000
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 1.0000000
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3169478
## Party.fctr.RFE.X..rcv.rf.prob 0.5849997
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8952551
## Party.fctr.RFE.X..rcv.nnet.prob 0.7891566
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8074771
## Party.fctr.All.X..rcv.glm.prob 0.9255725
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9528914
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3166969
## Party.fctr.RFE.X..rcv.rf.prob 0.5625146
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8566523
## Party.fctr.RFE.X..rcv.nnet.prob 0.7759781
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8074028
## Party.fctr.All.X..rcv.glm.prob 0.9205344
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9633405
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3611029
## Party.fctr.RFE.X..rcv.rf.prob 0.5695557
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8894315
## Party.fctr.RFE.X..rcv.nnet.prob 0.7771171
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8101480
## Party.fctr.All.X..rcv.glm.prob 0.9014065
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9667987
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3553095
## Party.fctr.RFE.X..rcv.rf.prob 0.5659386
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8949164
## Party.fctr.RFE.X..rcv.nnet.prob 0.7687517
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7956346
## Party.fctr.All.X..rcv.glm.prob 0.9001967
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9638358
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3316990
## Party.fctr.RFE.X..rcv.rf.prob 0.5638367
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9109802
## Party.fctr.RFE.X..rcv.nnet.prob 0.7538010
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7745838
## Party.fctr.All.X..rcv.glm.prob 0.8769625
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7621485
## Party.fctr.All.X..rcv.glm.prob 0.8740747
## Party.fctr.All.X.range.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7621485
## Party.fctr.All.X..rcv.glm.prob 0.8740747
## Party.fctr.All.X..rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7621485
## Party.fctr.All.X..rcv.glm.prob 0.8740747
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9532567
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2888450
## Party.fctr.RFE.X..rcv.rf.prob 0.5523091
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9683422
## Party.fctr.RFE.X..rcv.nnet.prob 0.7286555
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7599499
## Party.fctr.All.X..rcv.glm.prob 0.8611484
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.8952551
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2233505
## Party.fctr.RFE.X..rcv.rf.prob 0.5177145
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.nnet.prob 0.6727984
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7207729
## Party.fctr.All.X..rcv.glm.prob 0.8062761
## Party.fctr.All.X.ica.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.3169478
## Party.fctr.All.X.ica.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.rf.prob 0.1846677
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.2233505
## Party.fctr.RFE.X..rcv.nnet.prob 0.3454953
## Party.fctr.RFE.X..rcv.avNNet.prob 0.3250021
## Party.fctr.All.X..rcv.glm.prob 0.2840822
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 0.7599155
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## 0.7531575
## Party.fctr.All.X..rcv.glm.prob
## 0.7496527
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## 0.7496495
## Party.fctr.RFE.X..rcv.avNNet.prob
## 0.7459482
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## 0.7418101
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## 0.7393855
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## 0.7344104
## Party.fctr.All.X.range.rcv.glmnet.prob
## 0.7344104
## Party.fctr.All.X..rcv.glmnet.prob
## 0.7344104
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## 0.7303581
## Party.fctr.RFE.X..rcv.nnet.prob
## 0.7152939
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## 0.6908811
## Party.fctr.RFE.X..rcv.rf.prob
## 0.5946872
## Party.fctr.All.X.ica.rcv.glmnet.prob
## 0.3827922
## [1] "myfit_mdl: enter: 0.000000 secs"
## [1] "myfit_mdl: fitting model: Ensemble.auto.8##rcv#glmnet"
## [1] " indepVar: Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob,Party.fctr.RFE.X..rcv.avNNet.prob,Party.fctr.All.X..rcv.glm.prob,Party.fctr.All.X.expoTrans.rcv.glmnet.prob"
## [1] "myfit_mdl: setup complete: 0.724000 secs"
## Aggregating results
## Selecting tuning parameters
## Fitting alpha = 0.55, lambda = 0.212 on full training set
## [1] "myfit_mdl: train complete: 3.831000 secs"## Warning in myfit_mdl(mdl_specs_lst = thsMdlSpecs, indepVar = thsIndepVar, :
## model's bestTune found at an extreme of tuneGrid for parameter: lambda
## Length Class Mode
## a0 96 -none- numeric
## beta 864 dgCMatrix S4
## df 96 -none- numeric
## dim 2 -none- numeric
## lambda 96 -none- numeric
## dev.ratio 96 -none- numeric
## nulldev 1 -none- numeric
## npasses 1 -none- numeric
## jerr 1 -none- numeric
## offset 1 -none- logical
## classnames 2 -none- character
## call 5 -none- call
## nobs 1 -none- numeric
## lambdaOpt 1 -none- numeric
## xNames 9 -none- character
## problemType 1 -none- character
## tuneValue 2 data.frame list
## obsLevels 2 -none- character
## [1] "min lambda > lambdaOpt:"
## (Intercept) Party.fctr.RFE.X..rcv.avNNet.prob
## -1.8570366 0.4406734
## Party.fctr.RFE.X..rcv.rf.prob
## 3.1914988
## [1] "max lambda < lambdaOpt:"
## (Intercept) Party.fctr.RFE.X..rcv.avNNet.prob
## -1.9848102 0.4918495
## Party.fctr.RFE.X..rcv.rf.prob
## 3.4039550
## [1] "myfit_mdl: train diagnostics complete: 4.487000 secs"
## [1] "mypredict_mdl: maxMetricDf:"
## threshold f.score accuracy
## 9 0.40 1 1
## 10 0.45 1 1
## 11 0.50 1 1
## 12 0.55 1 1
## Prediction
## Reference D R
## D 2360 0
## R 0 2093
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 1.0000000 1.0000000 0.9991719 1.0000000 0.5299798
## AccuracyPValue McnemarPValue
## 0.0000000 NaN
## Prediction
## Reference D R
## D 512 79
## R 405 119
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 5.659193e-01 9.684265e-02 5.362369e-01 5.952529e-01 5.300448e-01
## AccuracyPValue McnemarPValue
## 8.804008e-03 2.196421e-49
## [1] "myfit_mdl: predict complete: 17.814000 secs"
## id
## 1 Ensemble.auto.8##rcv#glmnet
## feats
## 1 Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob,Party.fctr.RFE.X..rcv.avNNet.prob,Party.fctr.All.X..rcv.glm.prob,Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 25 3.096 0.109
## max.AUCpROC.fit max.Sens.fit max.Spec.fit max.AUCROCR.fit
## 1 1 1 1 1
## opt.prob.threshold.fit max.f.score.fit max.Accuracy.fit
## 1 0.5 1 1
## max.AccuracyLower.fit max.AccuracyUpper.fit max.Kappa.fit
## 1 0.9991719 1 1
## max.AUCpROC.OOB max.Sens.OOB max.Spec.OOB max.AUCROCR.OOB
## 1 0.552158 0.5871404 0.5171756 0.5560006
## opt.prob.threshold.OOB max.f.score.OOB max.Accuracy.OOB
## 1 0.6 0.3296399 0.5659193
## max.AccuracyLower.OOB max.AccuracyUpper.OOB max.Kappa.OOB
## 1 0.5362369 0.5952529 0.09684265
## max.AccuracySD.fit max.KappaSD.fit
## 1 0 0
## [1] "myfit_mdl: exit: 17.949000 secs"
## glmnet variable importance
##
## Overall
## Party.fctr.RFE.X..rcv.rf.prob 100.00
## Party.fctr.RFE.X..rcv.avNNet.prob 14.13
## .rnorm 0.00
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.00
## Party.fctr.All.X..rcv.glm.prob 0.00
## Party.fctr.RFE.X..rcv.nnet.prob 0.00
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.00
## Party.fctr.RFE.X..rcv.rf.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.5849997
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.1846677
## Party.fctr.RFE.X..rcv.rf.prob 1.0000000
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.5177145
## Party.fctr.RFE.X..rcv.nnet.prob 0.5627205
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7359313
## Party.fctr.All.X..rcv.glm.prob 0.5767768
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.5523091
## Party.fctr.RFE.X..rcv.avNNet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.8074771
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3250021
## Party.fctr.RFE.X..rcv.rf.prob 0.7359313
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.7207729
## Party.fctr.RFE.X..rcv.nnet.prob 0.8072394
## Party.fctr.RFE.X..rcv.avNNet.prob 1.0000000
## Party.fctr.All.X..rcv.glm.prob 0.8252145
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.7599499
## Party.fctr.RFE.X..rcv.nnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.7891566
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3454953
## Party.fctr.RFE.X..rcv.rf.prob 0.5627205
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.6727984
## Party.fctr.RFE.X..rcv.nnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8072394
## Party.fctr.All.X..rcv.glm.prob 0.8296469
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.7286555
## Party.fctr.All.X..rcv.glm.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9255725
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2840822
## Party.fctr.RFE.X..rcv.rf.prob 0.5767768
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8062761
## Party.fctr.RFE.X..rcv.nnet.prob 0.8296469
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8252145
## Party.fctr.All.X..rcv.glm.prob 1.0000000
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.8611484
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 1.0000000
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3169478
## Party.fctr.RFE.X..rcv.rf.prob 0.5849997
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8952551
## Party.fctr.RFE.X..rcv.nnet.prob 0.7891566
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8074771
## Party.fctr.All.X..rcv.glm.prob 0.9255725
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9532567
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9528914
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3166969
## Party.fctr.RFE.X..rcv.rf.prob 0.5625146
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8566523
## Party.fctr.RFE.X..rcv.nnet.prob 0.7759781
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8074028
## Party.fctr.All.X..rcv.glm.prob 0.9205344
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9169026
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9633405
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3611029
## Party.fctr.RFE.X..rcv.rf.prob 0.5695557
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8894315
## Party.fctr.RFE.X..rcv.nnet.prob 0.7771171
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8101480
## Party.fctr.All.X..rcv.glm.prob 0.9014065
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9577354
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9667987
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3553095
## Party.fctr.RFE.X..rcv.rf.prob 0.5659386
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8949164
## Party.fctr.RFE.X..rcv.nnet.prob 0.7687517
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7956346
## Party.fctr.All.X..rcv.glm.prob 0.9001967
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9636515
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9638358
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3316990
## Party.fctr.RFE.X..rcv.rf.prob 0.5638367
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9109802
## Party.fctr.RFE.X..rcv.nnet.prob 0.7538010
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7745838
## Party.fctr.All.X..rcv.glm.prob 0.8769625
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9817237
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7621485
## Party.fctr.All.X..rcv.glm.prob 0.8740747
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9839495
## Party.fctr.All.X.range.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7621485
## Party.fctr.All.X..rcv.glm.prob 0.8740747
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9839495
## Party.fctr.All.X..rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7621485
## Party.fctr.All.X..rcv.glm.prob 0.8740747
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9839495
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9532567
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2888450
## Party.fctr.RFE.X..rcv.rf.prob 0.5523091
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9683422
## Party.fctr.RFE.X..rcv.nnet.prob 0.7286555
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7599499
## Party.fctr.All.X..rcv.glm.prob 0.8611484
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.8952551
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2233505
## Party.fctr.RFE.X..rcv.rf.prob 0.5177145
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.nnet.prob 0.6727984
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7207729
## Party.fctr.All.X..rcv.glm.prob 0.8062761
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9683422
## Party.fctr.All.X.ica.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.3169478
## Party.fctr.All.X.ica.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.rf.prob 0.1846677
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.2233505
## Party.fctr.RFE.X..rcv.nnet.prob 0.3454953
## Party.fctr.RFE.X..rcv.avNNet.prob 0.3250021
## Party.fctr.All.X..rcv.glm.prob 0.2840822
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.2888450
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 0.7840832
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## 0.7787297
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## 0.7763997
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## 0.7696778
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## 0.7656028
## Party.fctr.All.X.range.rcv.glmnet.prob
## 0.7656028
## Party.fctr.All.X..rcv.glmnet.prob
## 0.7656028
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## 0.7640634
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## 0.7636967
## Party.fctr.All.X..rcv.glm.prob
## 0.7635897
## Party.fctr.RFE.X..rcv.avNNet.prob
## 0.7476984
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## 0.7255637
## Party.fctr.RFE.X..rcv.nnet.prob
## 0.7169641
## Party.fctr.RFE.X..rcv.rf.prob
## 0.5893900
## Party.fctr.All.X.ica.rcv.glmnet.prob
## 0.3710488
## [1] "myfit_mdl: enter: 0.000000 secs"
## [1] "myfit_mdl: fitting model: Ensemble.auto.9##rcv#glmnet"
## [1] " indepVar: Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob,Party.fctr.RFE.X..rcv.avNNet.prob,Party.fctr.All.X..rcv.glm.prob,Party.fctr.All.X.expoTrans.rcv.glmnet.prob,Party.fctr.All.X.zv.pca.rcv.glmnet.prob"
## [1] "myfit_mdl: setup complete: 0.700000 secs"
## Aggregating results
## Selecting tuning parameters
## Fitting alpha = 0.55, lambda = 0.212 on full training set
## [1] "myfit_mdl: train complete: 3.930000 secs"## Warning in myfit_mdl(mdl_specs_lst = thsMdlSpecs, indepVar = thsIndepVar, :
## model's bestTune found at an extreme of tuneGrid for parameter: lambda
## Length Class Mode
## a0 96 -none- numeric
## beta 960 dgCMatrix S4
## df 96 -none- numeric
## dim 2 -none- numeric
## lambda 96 -none- numeric
## dev.ratio 96 -none- numeric
## nulldev 1 -none- numeric
## npasses 1 -none- numeric
## jerr 1 -none- numeric
## offset 1 -none- logical
## classnames 2 -none- character
## call 5 -none- call
## nobs 1 -none- numeric
## lambdaOpt 1 -none- numeric
## xNames 10 -none- character
## problemType 1 -none- character
## tuneValue 2 data.frame list
## obsLevels 2 -none- character
## [1] "min lambda > lambdaOpt:"
## (Intercept) Party.fctr.RFE.X..rcv.avNNet.prob
## -1.8570366 0.4406734
## Party.fctr.RFE.X..rcv.rf.prob
## 3.1914988
## [1] "max lambda < lambdaOpt:"
## (Intercept) Party.fctr.RFE.X..rcv.avNNet.prob
## -1.9848102 0.4918495
## Party.fctr.RFE.X..rcv.rf.prob
## 3.4039550
## [1] "myfit_mdl: train diagnostics complete: 4.593000 secs"
## [1] "mypredict_mdl: maxMetricDf:"
## threshold f.score accuracy
## 9 0.40 1 1
## 10 0.45 1 1
## 11 0.50 1 1
## 12 0.55 1 1
## Prediction
## Reference D R
## D 2360 0
## R 0 2093
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 1.0000000 1.0000000 0.9991719 1.0000000 0.5299798
## AccuracyPValue McnemarPValue
## 0.0000000 NaN
## Prediction
## Reference D R
## D 512 79
## R 405 119
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 5.659193e-01 9.684265e-02 5.362369e-01 5.952529e-01 5.300448e-01
## AccuracyPValue McnemarPValue
## 8.804008e-03 2.196421e-49
## [1] "myfit_mdl: predict complete: 18.049000 secs"
## id
## 1 Ensemble.auto.9##rcv#glmnet
## feats
## 1 Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob,Party.fctr.RFE.X..rcv.avNNet.prob,Party.fctr.All.X..rcv.glm.prob,Party.fctr.All.X.expoTrans.rcv.glmnet.prob,Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 25 3.219 0.108
## max.AUCpROC.fit max.Sens.fit max.Spec.fit max.AUCROCR.fit
## 1 1 1 1 1
## opt.prob.threshold.fit max.f.score.fit max.Accuracy.fit
## 1 0.5 1 1
## max.AccuracyLower.fit max.AccuracyUpper.fit max.Kappa.fit
## 1 0.9991719 1 1
## max.AUCpROC.OOB max.Sens.OOB max.Spec.OOB max.AUCROCR.OOB
## 1 0.552158 0.5871404 0.5171756 0.5560006
## opt.prob.threshold.OOB max.f.score.OOB max.Accuracy.OOB
## 1 0.6 0.3296399 0.5659193
## max.AccuracyLower.OOB max.AccuracyUpper.OOB max.Kappa.OOB
## 1 0.5362369 0.5952529 0.09684265
## max.AccuracySD.fit max.KappaSD.fit
## 1 0 0
## [1] "myfit_mdl: exit: 18.179000 secs"
## glmnet variable importance
##
## Overall
## Party.fctr.RFE.X..rcv.rf.prob 100.00
## Party.fctr.RFE.X..rcv.avNNet.prob 14.13
## .rnorm 0.00
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.00
## Party.fctr.All.X..rcv.glm.prob 0.00
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.00
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X..rcv.nnet.prob 0.00
## Party.fctr.RFE.X..rcv.rf.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.5849997
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.1846677
## Party.fctr.RFE.X..rcv.rf.prob 1.0000000
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.5177145
## Party.fctr.RFE.X..rcv.nnet.prob 0.5627205
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7359313
## Party.fctr.All.X..rcv.glm.prob 0.5767768
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.5523091
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.5625146
## Party.fctr.RFE.X..rcv.avNNet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.8074771
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3250021
## Party.fctr.RFE.X..rcv.rf.prob 0.7359313
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.7207729
## Party.fctr.RFE.X..rcv.nnet.prob 0.8072394
## Party.fctr.RFE.X..rcv.avNNet.prob 1.0000000
## Party.fctr.All.X..rcv.glm.prob 0.8252145
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.7599499
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.8074028
## Party.fctr.RFE.X..rcv.nnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.7891566
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3454953
## Party.fctr.RFE.X..rcv.rf.prob 0.5627205
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.6727984
## Party.fctr.RFE.X..rcv.nnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8072394
## Party.fctr.All.X..rcv.glm.prob 0.8296469
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.7286555
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.7759781
## Party.fctr.All.X..rcv.glm.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9255725
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2840822
## Party.fctr.RFE.X..rcv.rf.prob 0.5767768
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8062761
## Party.fctr.RFE.X..rcv.nnet.prob 0.8296469
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8252145
## Party.fctr.All.X..rcv.glm.prob 1.0000000
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.8611484
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9205344
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 1.0000000
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3169478
## Party.fctr.RFE.X..rcv.rf.prob 0.5849997
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8952551
## Party.fctr.RFE.X..rcv.nnet.prob 0.7891566
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8074771
## Party.fctr.All.X..rcv.glm.prob 0.9255725
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9532567
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9528914
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9528914
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3166969
## Party.fctr.RFE.X..rcv.rf.prob 0.5625146
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8566523
## Party.fctr.RFE.X..rcv.nnet.prob 0.7759781
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8074028
## Party.fctr.All.X..rcv.glm.prob 0.9205344
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9169026
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9633405
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3611029
## Party.fctr.RFE.X..rcv.rf.prob 0.5695557
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8894315
## Party.fctr.RFE.X..rcv.nnet.prob 0.7771171
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8101480
## Party.fctr.All.X..rcv.glm.prob 0.9014065
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9577354
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9580909
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9667987
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3553095
## Party.fctr.RFE.X..rcv.rf.prob 0.5659386
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8949164
## Party.fctr.RFE.X..rcv.nnet.prob 0.7687517
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7956346
## Party.fctr.All.X..rcv.glm.prob 0.9001967
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9636515
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9574912
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9638358
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3316990
## Party.fctr.RFE.X..rcv.rf.prob 0.5638367
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9109802
## Party.fctr.RFE.X..rcv.nnet.prob 0.7538010
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7745838
## Party.fctr.All.X..rcv.glm.prob 0.8769625
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9817237
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9295067
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7621485
## Party.fctr.All.X..rcv.glm.prob 0.8740747
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9839495
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9274426
## Party.fctr.All.X.range.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7621485
## Party.fctr.All.X..rcv.glm.prob 0.8740747
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9839495
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9274426
## Party.fctr.All.X..rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7621485
## Party.fctr.All.X..rcv.glm.prob 0.8740747
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9839495
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9274426
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9532567
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2888450
## Party.fctr.RFE.X..rcv.rf.prob 0.5523091
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9683422
## Party.fctr.RFE.X..rcv.nnet.prob 0.7286555
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7599499
## Party.fctr.All.X..rcv.glm.prob 0.8611484
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9169026
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.8952551
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2233505
## Party.fctr.RFE.X..rcv.rf.prob 0.5177145
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.nnet.prob 0.6727984
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7207729
## Party.fctr.All.X..rcv.glm.prob 0.8062761
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9683422
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.8566523
## Party.fctr.All.X.ica.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.3169478
## Party.fctr.All.X.ica.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.rf.prob 0.1846677
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.2233505
## Party.fctr.RFE.X..rcv.nnet.prob 0.3454953
## Party.fctr.RFE.X..rcv.avNNet.prob 0.3250021
## Party.fctr.All.X..rcv.glm.prob 0.2840822
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.2888450
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.3166969
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 0.8028397
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## 0.7986587
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## 0.7965210
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## 0.7899526
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## 0.7874366
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## 0.7835850
## Party.fctr.All.X.range.rcv.glmnet.prob
## 0.7835850
## Party.fctr.All.X..rcv.glmnet.prob
## 0.7835850
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## 0.7810455
## Party.fctr.All.X..rcv.glm.prob
## 0.7810280
## Party.fctr.RFE.X..rcv.avNNet.prob
## 0.7543322
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## 0.7401291
## Party.fctr.RFE.X..rcv.nnet.prob
## 0.7235212
## Party.fctr.RFE.X..rcv.rf.prob
## 0.5864038
## Party.fctr.All.X.ica.rcv.glmnet.prob
## 0.3650097
## [1] "myfit_mdl: enter: 0.000000 secs"
## [1] "myfit_mdl: fitting model: Ensemble.auto.10##rcv#glmnet"
## [1] " indepVar: Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob,Party.fctr.RFE.X..rcv.avNNet.prob,Party.fctr.All.X..rcv.glm.prob,Party.fctr.All.X.expoTrans.rcv.glmnet.prob,Party.fctr.All.X.zv.pca.rcv.glmnet.prob,Party.fctr.All.X..rcv.glmnet.prob"
## [1] "myfit_mdl: setup complete: 0.702000 secs"
## Aggregating results
## Selecting tuning parameters
## Fitting alpha = 0.55, lambda = 0.212 on full training set
## [1] "myfit_mdl: train complete: 4.391000 secs"## Warning in myfit_mdl(mdl_specs_lst = thsMdlSpecs, indepVar = thsIndepVar, :
## model's bestTune found at an extreme of tuneGrid for parameter: lambda
## Length Class Mode
## a0 96 -none- numeric
## beta 1056 dgCMatrix S4
## df 96 -none- numeric
## dim 2 -none- numeric
## lambda 96 -none- numeric
## dev.ratio 96 -none- numeric
## nulldev 1 -none- numeric
## npasses 1 -none- numeric
## jerr 1 -none- numeric
## offset 1 -none- logical
## classnames 2 -none- character
## call 5 -none- call
## nobs 1 -none- numeric
## lambdaOpt 1 -none- numeric
## xNames 11 -none- character
## problemType 1 -none- character
## tuneValue 2 data.frame list
## obsLevels 2 -none- character
## [1] "min lambda > lambdaOpt:"
## (Intercept) Party.fctr.RFE.X..rcv.avNNet.prob
## -1.8570366 0.4406734
## Party.fctr.RFE.X..rcv.rf.prob
## 3.1914988
## [1] "max lambda < lambdaOpt:"
## (Intercept) Party.fctr.RFE.X..rcv.avNNet.prob
## -1.9848102 0.4918495
## Party.fctr.RFE.X..rcv.rf.prob
## 3.4039550
## [1] "myfit_mdl: train diagnostics complete: 5.046000 secs"
## [1] "mypredict_mdl: maxMetricDf:"
## threshold f.score accuracy
## 9 0.40 1 1
## 10 0.45 1 1
## 11 0.50 1 1
## 12 0.55 1 1
## Prediction
## Reference D R
## D 2360 0
## R 0 2093
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 1.0000000 1.0000000 0.9991719 1.0000000 0.5299798
## AccuracyPValue McnemarPValue
## 0.0000000 NaN
## Prediction
## Reference D R
## D 512 79
## R 405 119
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 5.659193e-01 9.684265e-02 5.362369e-01 5.952529e-01 5.300448e-01
## AccuracyPValue McnemarPValue
## 8.804008e-03 2.196421e-49
## [1] "myfit_mdl: predict complete: 18.450000 secs"
## id
## 1 Ensemble.auto.10##rcv#glmnet
## feats
## 1 Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob,Party.fctr.RFE.X..rcv.avNNet.prob,Party.fctr.All.X..rcv.glm.prob,Party.fctr.All.X.expoTrans.rcv.glmnet.prob,Party.fctr.All.X.zv.pca.rcv.glmnet.prob,Party.fctr.All.X..rcv.glmnet.prob
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 25 3.676 0.112
## max.AUCpROC.fit max.Sens.fit max.Spec.fit max.AUCROCR.fit
## 1 1 1 1 1
## opt.prob.threshold.fit max.f.score.fit max.Accuracy.fit
## 1 0.5 1 1
## max.AccuracyLower.fit max.AccuracyUpper.fit max.Kappa.fit
## 1 0.9991719 1 1
## max.AUCpROC.OOB max.Sens.OOB max.Spec.OOB max.AUCROCR.OOB
## 1 0.552158 0.5871404 0.5171756 0.5560006
## opt.prob.threshold.OOB max.f.score.OOB max.Accuracy.OOB
## 1 0.6 0.3296399 0.5659193
## max.AccuracyLower.OOB max.AccuracyUpper.OOB max.Kappa.OOB
## 1 0.5362369 0.5952529 0.09684265
## max.AccuracySD.fit max.KappaSD.fit
## 1 0 0
## [1] "myfit_mdl: exit: 18.596000 secs"
## glmnet variable importance
##
## Overall
## Party.fctr.RFE.X..rcv.rf.prob 100.00
## Party.fctr.RFE.X..rcv.avNNet.prob 14.13
## .rnorm 0.00
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.00
## Party.fctr.RFE.X..rcv.nnet.prob 0.00
## Party.fctr.All.X..rcv.glm.prob 0.00
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.00
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.00
## Party.fctr.All.X..rcv.glmnet.prob 0.00
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X..rcv.rf.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.5849997
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.1846677
## Party.fctr.RFE.X..rcv.rf.prob 1.0000000
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.5177145
## Party.fctr.RFE.X..rcv.nnet.prob 0.5627205
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7359313
## Party.fctr.All.X..rcv.glm.prob 0.5767768
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.5523091
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.5625146
## Party.fctr.All.X..rcv.glmnet.prob 0.5595358
## Party.fctr.RFE.X..rcv.avNNet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.8074771
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3250021
## Party.fctr.RFE.X..rcv.rf.prob 0.7359313
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.7207729
## Party.fctr.RFE.X..rcv.nnet.prob 0.8072394
## Party.fctr.RFE.X..rcv.avNNet.prob 1.0000000
## Party.fctr.All.X..rcv.glm.prob 0.8252145
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.7599499
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.8074028
## Party.fctr.All.X..rcv.glmnet.prob 0.7621485
## Party.fctr.RFE.X..rcv.nnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.7891566
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3454953
## Party.fctr.RFE.X..rcv.rf.prob 0.5627205
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.6727984
## Party.fctr.RFE.X..rcv.nnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8072394
## Party.fctr.All.X..rcv.glm.prob 0.8296469
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.7286555
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.7759781
## Party.fctr.All.X..rcv.glmnet.prob 0.7450408
## Party.fctr.All.X..rcv.glm.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9255725
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2840822
## Party.fctr.RFE.X..rcv.rf.prob 0.5767768
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8062761
## Party.fctr.RFE.X..rcv.nnet.prob 0.8296469
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8252145
## Party.fctr.All.X..rcv.glm.prob 1.0000000
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.8611484
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9205344
## Party.fctr.All.X..rcv.glmnet.prob 0.8740747
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 1.0000000
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3169478
## Party.fctr.RFE.X..rcv.rf.prob 0.5849997
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8952551
## Party.fctr.RFE.X..rcv.nnet.prob 0.7891566
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8074771
## Party.fctr.All.X..rcv.glm.prob 0.9255725
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9532567
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9528914
## Party.fctr.All.X..rcv.glmnet.prob 0.9645156
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9528914
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3166969
## Party.fctr.RFE.X..rcv.rf.prob 0.5625146
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8566523
## Party.fctr.RFE.X..rcv.nnet.prob 0.7759781
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8074028
## Party.fctr.All.X..rcv.glm.prob 0.9205344
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9169026
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 1.0000000
## Party.fctr.All.X..rcv.glmnet.prob 0.9274426
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9633405
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3611029
## Party.fctr.RFE.X..rcv.rf.prob 0.5695557
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8894315
## Party.fctr.RFE.X..rcv.nnet.prob 0.7771171
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8101480
## Party.fctr.All.X..rcv.glm.prob 0.9014065
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9577354
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9580909
## Party.fctr.All.X..rcv.glmnet.prob 0.9721249
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9667987
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3553095
## Party.fctr.RFE.X..rcv.rf.prob 0.5659386
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8949164
## Party.fctr.RFE.X..rcv.nnet.prob 0.7687517
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7956346
## Party.fctr.All.X..rcv.glm.prob 0.9001967
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9636515
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9574912
## Party.fctr.All.X..rcv.glmnet.prob 0.9781410
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9638358
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3316990
## Party.fctr.RFE.X..rcv.rf.prob 0.5638367
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9109802
## Party.fctr.RFE.X..rcv.nnet.prob 0.7538010
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7745838
## Party.fctr.All.X..rcv.glm.prob 0.8769625
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9817237
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9295067
## Party.fctr.All.X..rcv.glmnet.prob 0.9970833
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7621485
## Party.fctr.All.X..rcv.glm.prob 0.8740747
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9839495
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9274426
## Party.fctr.All.X..rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.range.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7621485
## Party.fctr.All.X..rcv.glm.prob 0.8740747
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9839495
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9274426
## Party.fctr.All.X..rcv.glmnet.prob 1.0000000
## Party.fctr.All.X..rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7621485
## Party.fctr.All.X..rcv.glm.prob 0.8740747
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9839495
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9274426
## Party.fctr.All.X..rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9532567
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2888450
## Party.fctr.RFE.X..rcv.rf.prob 0.5523091
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9683422
## Party.fctr.RFE.X..rcv.nnet.prob 0.7286555
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7599499
## Party.fctr.All.X..rcv.glm.prob 0.8611484
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9169026
## Party.fctr.All.X..rcv.glmnet.prob 0.9839495
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.8952551
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2233505
## Party.fctr.RFE.X..rcv.rf.prob 0.5177145
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.nnet.prob 0.6727984
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7207729
## Party.fctr.All.X..rcv.glm.prob 0.8062761
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9683422
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.8566523
## Party.fctr.All.X..rcv.glmnet.prob 0.9122701
## Party.fctr.All.X.ica.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.3169478
## Party.fctr.All.X.ica.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.rf.prob 0.1846677
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.2233505
## Party.fctr.RFE.X..rcv.nnet.prob 0.3454953
## Party.fctr.RFE.X..rcv.avNNet.prob 0.3250021
## Party.fctr.All.X..rcv.glm.prob 0.2840822
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.2888450
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.3166969
## Party.fctr.All.X..rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 0.8190072
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## 0.8160053
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## 0.8146830
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## 0.8084013
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## 0.8052265
## Party.fctr.All.X.range.rcv.glmnet.prob
## 0.8052265
## Party.fctr.All.X..rcv.glmnet.prob
## 0.8052265
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## 0.8037016
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## 0.8013359
## Party.fctr.All.X..rcv.glm.prob
## 0.7903327
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## 0.7573432
## Party.fctr.RFE.X..rcv.avNNet.prob
## 0.7551139
## Party.fctr.RFE.X..rcv.nnet.prob
## 0.7256732
## Party.fctr.RFE.X..rcv.rf.prob
## 0.5837170
## Party.fctr.All.X.ica.rcv.glmnet.prob
## 0.3608375
## [1] "myfit_mdl: enter: 0.000000 secs"
## [1] "myfit_mdl: fitting model: Ensemble.auto.11##rcv#glmnet"
## [1] " indepVar: Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob,Party.fctr.RFE.X..rcv.avNNet.prob,Party.fctr.All.X..rcv.glm.prob,Party.fctr.All.X.expoTrans.rcv.glmnet.prob,Party.fctr.All.X.zv.pca.rcv.glmnet.prob,Party.fctr.All.X..rcv.glmnet.prob,Party.fctr.All.X.range.rcv.glmnet.prob"
## [1] "myfit_mdl: setup complete: 0.718000 secs"
## Aggregating results
## Selecting tuning parameters
## Fitting alpha = 0.55, lambda = 0.212 on full training set
## [1] "myfit_mdl: train complete: 4.186000 secs"## Warning in myfit_mdl(mdl_specs_lst = thsMdlSpecs, indepVar = thsIndepVar, :
## model's bestTune found at an extreme of tuneGrid for parameter: lambda
## Length Class Mode
## a0 96 -none- numeric
## beta 1152 dgCMatrix S4
## df 96 -none- numeric
## dim 2 -none- numeric
## lambda 96 -none- numeric
## dev.ratio 96 -none- numeric
## nulldev 1 -none- numeric
## npasses 1 -none- numeric
## jerr 1 -none- numeric
## offset 1 -none- logical
## classnames 2 -none- character
## call 5 -none- call
## nobs 1 -none- numeric
## lambdaOpt 1 -none- numeric
## xNames 12 -none- character
## problemType 1 -none- character
## tuneValue 2 data.frame list
## obsLevels 2 -none- character
## [1] "min lambda > lambdaOpt:"
## (Intercept) Party.fctr.RFE.X..rcv.avNNet.prob
## -1.8570366 0.4406734
## Party.fctr.RFE.X..rcv.rf.prob
## 3.1914988
## [1] "max lambda < lambdaOpt:"
## (Intercept) Party.fctr.RFE.X..rcv.avNNet.prob
## -1.9848102 0.4918495
## Party.fctr.RFE.X..rcv.rf.prob
## 3.4039550
## [1] "myfit_mdl: train diagnostics complete: 4.873000 secs"
## [1] "mypredict_mdl: maxMetricDf:"
## threshold f.score accuracy
## 9 0.40 1 1
## 10 0.45 1 1
## 11 0.50 1 1
## 12 0.55 1 1
## Prediction
## Reference D R
## D 2360 0
## R 0 2093
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 1.0000000 1.0000000 0.9991719 1.0000000 0.5299798
## AccuracyPValue McnemarPValue
## 0.0000000 NaN
## Prediction
## Reference D R
## D 512 79
## R 405 119
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 5.659193e-01 9.684265e-02 5.362369e-01 5.952529e-01 5.300448e-01
## AccuracyPValue McnemarPValue
## 8.804008e-03 2.196421e-49
## [1] "myfit_mdl: predict complete: 18.577000 secs"
## id
## 1 Ensemble.auto.11##rcv#glmnet
## feats
## 1 Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob,Party.fctr.RFE.X..rcv.avNNet.prob,Party.fctr.All.X..rcv.glm.prob,Party.fctr.All.X.expoTrans.rcv.glmnet.prob,Party.fctr.All.X.zv.pca.rcv.glmnet.prob,Party.fctr.All.X..rcv.glmnet.prob,Party.fctr.All.X.range.rcv.glmnet.prob
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 25 3.455 0.119
## max.AUCpROC.fit max.Sens.fit max.Spec.fit max.AUCROCR.fit
## 1 1 1 1 1
## opt.prob.threshold.fit max.f.score.fit max.Accuracy.fit
## 1 0.5 1 1
## max.AccuracyLower.fit max.AccuracyUpper.fit max.Kappa.fit
## 1 0.9991719 1 1
## max.AUCpROC.OOB max.Sens.OOB max.Spec.OOB max.AUCROCR.OOB
## 1 0.552158 0.5871404 0.5171756 0.5560006
## opt.prob.threshold.OOB max.f.score.OOB max.Accuracy.OOB
## 1 0.6 0.3296399 0.5659193
## max.AccuracyLower.OOB max.AccuracyUpper.OOB max.Kappa.OOB
## 1 0.5362369 0.5952529 0.09684265
## max.AccuracySD.fit max.KappaSD.fit
## 1 0 0
## [1] "myfit_mdl: exit: 18.711000 secs"
## glmnet variable importance
##
## Overall
## Party.fctr.RFE.X..rcv.rf.prob 100.00
## Party.fctr.RFE.X..rcv.avNNet.prob 14.13
## .rnorm 0.00
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X..rcv.nnet.prob 0.00
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.00
## Party.fctr.All.X..rcv.glm.prob 0.00
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.00
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.00
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.00
## Party.fctr.All.X..rcv.glmnet.prob 0.00
## Party.fctr.All.X.range.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X..rcv.rf.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.5849997
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.1846677
## Party.fctr.RFE.X..rcv.rf.prob 1.0000000
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.5177145
## Party.fctr.RFE.X..rcv.nnet.prob 0.5627205
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7359313
## Party.fctr.All.X..rcv.glm.prob 0.5767768
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.5523091
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.5625146
## Party.fctr.All.X..rcv.glmnet.prob 0.5595358
## Party.fctr.All.X.range.rcv.glmnet.prob 0.5595358
## Party.fctr.RFE.X..rcv.avNNet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.8074771
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3250021
## Party.fctr.RFE.X..rcv.rf.prob 0.7359313
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.7207729
## Party.fctr.RFE.X..rcv.nnet.prob 0.8072394
## Party.fctr.RFE.X..rcv.avNNet.prob 1.0000000
## Party.fctr.All.X..rcv.glm.prob 0.8252145
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.7599499
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.8074028
## Party.fctr.All.X..rcv.glmnet.prob 0.7621485
## Party.fctr.All.X.range.rcv.glmnet.prob 0.7621485
## Party.fctr.RFE.X..rcv.nnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.7891566
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3454953
## Party.fctr.RFE.X..rcv.rf.prob 0.5627205
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.6727984
## Party.fctr.RFE.X..rcv.nnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8072394
## Party.fctr.All.X..rcv.glm.prob 0.8296469
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.7286555
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.7759781
## Party.fctr.All.X..rcv.glmnet.prob 0.7450408
## Party.fctr.All.X.range.rcv.glmnet.prob 0.7450408
## Party.fctr.All.X..rcv.glm.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9255725
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2840822
## Party.fctr.RFE.X..rcv.rf.prob 0.5767768
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8062761
## Party.fctr.RFE.X..rcv.nnet.prob 0.8296469
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8252145
## Party.fctr.All.X..rcv.glm.prob 1.0000000
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.8611484
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9205344
## Party.fctr.All.X..rcv.glmnet.prob 0.8740747
## Party.fctr.All.X.range.rcv.glmnet.prob 0.8740747
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 1.0000000
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3169478
## Party.fctr.RFE.X..rcv.rf.prob 0.5849997
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8952551
## Party.fctr.RFE.X..rcv.nnet.prob 0.7891566
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8074771
## Party.fctr.All.X..rcv.glm.prob 0.9255725
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9532567
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9528914
## Party.fctr.All.X..rcv.glmnet.prob 0.9645156
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9645156
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9528914
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3166969
## Party.fctr.RFE.X..rcv.rf.prob 0.5625146
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8566523
## Party.fctr.RFE.X..rcv.nnet.prob 0.7759781
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8074028
## Party.fctr.All.X..rcv.glm.prob 0.9205344
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9169026
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 1.0000000
## Party.fctr.All.X..rcv.glmnet.prob 0.9274426
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9274426
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9633405
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3611029
## Party.fctr.RFE.X..rcv.rf.prob 0.5695557
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8894315
## Party.fctr.RFE.X..rcv.nnet.prob 0.7771171
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8101480
## Party.fctr.All.X..rcv.glm.prob 0.9014065
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9577354
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9580909
## Party.fctr.All.X..rcv.glmnet.prob 0.9721249
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9721249
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9667987
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3553095
## Party.fctr.RFE.X..rcv.rf.prob 0.5659386
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8949164
## Party.fctr.RFE.X..rcv.nnet.prob 0.7687517
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7956346
## Party.fctr.All.X..rcv.glm.prob 0.9001967
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9636515
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9574912
## Party.fctr.All.X..rcv.glmnet.prob 0.9781410
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9781410
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9638358
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3316990
## Party.fctr.RFE.X..rcv.rf.prob 0.5638367
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9109802
## Party.fctr.RFE.X..rcv.nnet.prob 0.7538010
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7745838
## Party.fctr.All.X..rcv.glm.prob 0.8769625
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9817237
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9295067
## Party.fctr.All.X..rcv.glmnet.prob 0.9970833
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9970833
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7621485
## Party.fctr.All.X..rcv.glm.prob 0.8740747
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9839495
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9274426
## Party.fctr.All.X..rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.range.rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.range.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7621485
## Party.fctr.All.X..rcv.glm.prob 0.8740747
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9839495
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9274426
## Party.fctr.All.X..rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.range.rcv.glmnet.prob 1.0000000
## Party.fctr.All.X..rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7621485
## Party.fctr.All.X..rcv.glm.prob 0.8740747
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9839495
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9274426
## Party.fctr.All.X..rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.range.rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9532567
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2888450
## Party.fctr.RFE.X..rcv.rf.prob 0.5523091
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9683422
## Party.fctr.RFE.X..rcv.nnet.prob 0.7286555
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7599499
## Party.fctr.All.X..rcv.glm.prob 0.8611484
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9169026
## Party.fctr.All.X..rcv.glmnet.prob 0.9839495
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9839495
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.8952551
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2233505
## Party.fctr.RFE.X..rcv.rf.prob 0.5177145
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.nnet.prob 0.6727984
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7207729
## Party.fctr.All.X..rcv.glm.prob 0.8062761
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9683422
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.8566523
## Party.fctr.All.X..rcv.glmnet.prob 0.9122701
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9122701
## Party.fctr.All.X.ica.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.3169478
## Party.fctr.All.X.ica.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.rf.prob 0.1846677
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.2233505
## Party.fctr.RFE.X..rcv.nnet.prob 0.3454953
## Party.fctr.RFE.X..rcv.avNNet.prob 0.3250021
## Party.fctr.All.X..rcv.glm.prob 0.2840822
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.2888450
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.3166969
## Party.fctr.All.X..rcv.glmnet.prob 0.3232876
## Party.fctr.All.X.range.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 0.8322353
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## 0.8301980
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## 0.8295428
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## 0.8255542
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## 0.8229332
## Party.fctr.All.X.range.rcv.glmnet.prob
## 0.8229332
## Party.fctr.All.X..rcv.glmnet.prob
## 0.8229332
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## 0.8179371
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## 0.8149508
## Party.fctr.All.X..rcv.glm.prob
## 0.7979456
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## 0.7714275
## Party.fctr.RFE.X..rcv.avNNet.prob
## 0.7557534
## Party.fctr.RFE.X..rcv.nnet.prob
## 0.7274339
## Party.fctr.RFE.X..rcv.rf.prob
## 0.5815187
## Party.fctr.All.X.ica.rcv.glmnet.prob
## 0.3574239
## [1] "myfit_mdl: enter: 0.000000 secs"
## [1] "myfit_mdl: fitting model: Ensemble.auto.12##rcv#glmnet"
## [1] " indepVar: Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob,Party.fctr.RFE.X..rcv.avNNet.prob,Party.fctr.All.X..rcv.glm.prob,Party.fctr.All.X.expoTrans.rcv.glmnet.prob,Party.fctr.All.X.zv.pca.rcv.glmnet.prob,Party.fctr.All.X..rcv.glmnet.prob,Party.fctr.All.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.range.rcv.glmnet.prob"
## [1] "myfit_mdl: setup complete: 0.698000 secs"
## Aggregating results
## Selecting tuning parameters
## Fitting alpha = 0.55, lambda = 0.212 on full training set
## [1] "myfit_mdl: train complete: 4.183000 secs"## Warning in myfit_mdl(mdl_specs_lst = thsMdlSpecs, indepVar = thsIndepVar, :
## model's bestTune found at an extreme of tuneGrid for parameter: lambda
## Length Class Mode
## a0 96 -none- numeric
## beta 1248 dgCMatrix S4
## df 96 -none- numeric
## dim 2 -none- numeric
## lambda 96 -none- numeric
## dev.ratio 96 -none- numeric
## nulldev 1 -none- numeric
## npasses 1 -none- numeric
## jerr 1 -none- numeric
## offset 1 -none- logical
## classnames 2 -none- character
## call 5 -none- call
## nobs 1 -none- numeric
## lambdaOpt 1 -none- numeric
## xNames 13 -none- character
## problemType 1 -none- character
## tuneValue 2 data.frame list
## obsLevels 2 -none- character
## [1] "min lambda > lambdaOpt:"
## (Intercept) Party.fctr.RFE.X..rcv.avNNet.prob
## -1.8570366 0.4406734
## Party.fctr.RFE.X..rcv.rf.prob
## 3.1914988
## [1] "max lambda < lambdaOpt:"
## (Intercept) Party.fctr.RFE.X..rcv.avNNet.prob
## -1.9848102 0.4918495
## Party.fctr.RFE.X..rcv.rf.prob
## 3.4039550
## [1] "myfit_mdl: train diagnostics complete: 4.840000 secs"
## [1] "mypredict_mdl: maxMetricDf:"
## threshold f.score accuracy
## 9 0.40 1 1
## 10 0.45 1 1
## 11 0.50 1 1
## 12 0.55 1 1
## Prediction
## Reference D R
## D 2360 0
## R 0 2093
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 1.0000000 1.0000000 0.9991719 1.0000000 0.5299798
## AccuracyPValue McnemarPValue
## 0.0000000 NaN
## Prediction
## Reference D R
## D 512 79
## R 405 119
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 5.659193e-01 9.684265e-02 5.362369e-01 5.952529e-01 5.300448e-01
## AccuracyPValue McnemarPValue
## 8.804008e-03 2.196421e-49
## [1] "myfit_mdl: predict complete: 18.339000 secs"
## id
## 1 Ensemble.auto.12##rcv#glmnet
## feats
## 1 Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob,Party.fctr.RFE.X..rcv.avNNet.prob,Party.fctr.All.X..rcv.glm.prob,Party.fctr.All.X.expoTrans.rcv.glmnet.prob,Party.fctr.All.X.zv.pca.rcv.glmnet.prob,Party.fctr.All.X..rcv.glmnet.prob,Party.fctr.All.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.range.rcv.glmnet.prob
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 25 3.472 0.125
## max.AUCpROC.fit max.Sens.fit max.Spec.fit max.AUCROCR.fit
## 1 1 1 1 1
## opt.prob.threshold.fit max.f.score.fit max.Accuracy.fit
## 1 0.5 1 1
## max.AccuracyLower.fit max.AccuracyUpper.fit max.Kappa.fit
## 1 0.9991719 1 1
## max.AUCpROC.OOB max.Sens.OOB max.Spec.OOB max.AUCROCR.OOB
## 1 0.552158 0.5871404 0.5171756 0.5560006
## opt.prob.threshold.OOB max.f.score.OOB max.Accuracy.OOB
## 1 0.6 0.3296399 0.5659193
## max.AccuracyLower.OOB max.AccuracyUpper.OOB max.Kappa.OOB
## 1 0.5362369 0.5952529 0.09684265
## max.AccuracySD.fit max.KappaSD.fit
## 1 0 0
## [1] "myfit_mdl: exit: 19.034000 secs"
## glmnet variable importance
##
## Overall
## Party.fctr.RFE.X..rcv.rf.prob 100.00
## Party.fctr.RFE.X..rcv.avNNet.prob 14.13
## .rnorm 0.00
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X..rcv.nnet.prob 0.00
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.00
## Party.fctr.All.X..rcv.glm.prob 0.00
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.00
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.00
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.00
## Party.fctr.All.X..rcv.glmnet.prob 0.00
## Party.fctr.All.X.range.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X..rcv.rf.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.5849997
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.1846677
## Party.fctr.RFE.X..rcv.rf.prob 1.0000000
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.5177145
## Party.fctr.RFE.X..rcv.nnet.prob 0.5627205
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7359313
## Party.fctr.All.X..rcv.glm.prob 0.5767768
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.5523091
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.5625146
## Party.fctr.All.X..rcv.glmnet.prob 0.5595358
## Party.fctr.All.X.range.rcv.glmnet.prob 0.5595358
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.5595358
## Party.fctr.RFE.X..rcv.avNNet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.8074771
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3250021
## Party.fctr.RFE.X..rcv.rf.prob 0.7359313
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.7207729
## Party.fctr.RFE.X..rcv.nnet.prob 0.8072394
## Party.fctr.RFE.X..rcv.avNNet.prob 1.0000000
## Party.fctr.All.X..rcv.glm.prob 0.8252145
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.7599499
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.8074028
## Party.fctr.All.X..rcv.glmnet.prob 0.7621485
## Party.fctr.All.X.range.rcv.glmnet.prob 0.7621485
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.7621485
## Party.fctr.RFE.X..rcv.nnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.7891566
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3454953
## Party.fctr.RFE.X..rcv.rf.prob 0.5627205
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.6727984
## Party.fctr.RFE.X..rcv.nnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8072394
## Party.fctr.All.X..rcv.glm.prob 0.8296469
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.7286555
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.7759781
## Party.fctr.All.X..rcv.glmnet.prob 0.7450408
## Party.fctr.All.X.range.rcv.glmnet.prob 0.7450408
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.7450408
## Party.fctr.All.X..rcv.glm.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9255725
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2840822
## Party.fctr.RFE.X..rcv.rf.prob 0.5767768
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8062761
## Party.fctr.RFE.X..rcv.nnet.prob 0.8296469
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8252145
## Party.fctr.All.X..rcv.glm.prob 1.0000000
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.8611484
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9205344
## Party.fctr.All.X..rcv.glmnet.prob 0.8740747
## Party.fctr.All.X.range.rcv.glmnet.prob 0.8740747
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.8740747
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 1.0000000
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3169478
## Party.fctr.RFE.X..rcv.rf.prob 0.5849997
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8952551
## Party.fctr.RFE.X..rcv.nnet.prob 0.7891566
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8074771
## Party.fctr.All.X..rcv.glm.prob 0.9255725
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9532567
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9528914
## Party.fctr.All.X..rcv.glmnet.prob 0.9645156
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9645156
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.9645156
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9528914
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3166969
## Party.fctr.RFE.X..rcv.rf.prob 0.5625146
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8566523
## Party.fctr.RFE.X..rcv.nnet.prob 0.7759781
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8074028
## Party.fctr.All.X..rcv.glm.prob 0.9205344
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9169026
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 1.0000000
## Party.fctr.All.X..rcv.glmnet.prob 0.9274426
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9274426
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.9274426
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9633405
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3611029
## Party.fctr.RFE.X..rcv.rf.prob 0.5695557
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8894315
## Party.fctr.RFE.X..rcv.nnet.prob 0.7771171
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8101480
## Party.fctr.All.X..rcv.glm.prob 0.9014065
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9577354
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9580909
## Party.fctr.All.X..rcv.glmnet.prob 0.9721249
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9721249
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.9721249
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9667987
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3553095
## Party.fctr.RFE.X..rcv.rf.prob 0.5659386
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8949164
## Party.fctr.RFE.X..rcv.nnet.prob 0.7687517
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7956346
## Party.fctr.All.X..rcv.glm.prob 0.9001967
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9636515
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9574912
## Party.fctr.All.X..rcv.glmnet.prob 0.9781410
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9781410
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.9781410
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9638358
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3316990
## Party.fctr.RFE.X..rcv.rf.prob 0.5638367
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9109802
## Party.fctr.RFE.X..rcv.nnet.prob 0.7538010
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7745838
## Party.fctr.All.X..rcv.glm.prob 0.8769625
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9817237
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9295067
## Party.fctr.All.X..rcv.glmnet.prob 0.9970833
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9970833
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.9970833
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7621485
## Party.fctr.All.X..rcv.glm.prob 0.8740747
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9839495
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9274426
## Party.fctr.All.X..rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.range.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X.range.rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.range.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7621485
## Party.fctr.All.X..rcv.glm.prob 0.8740747
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9839495
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9274426
## Party.fctr.All.X..rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.range.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X.range.rcv.glmnet.prob 1.0000000
## Party.fctr.All.X..rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7621485
## Party.fctr.All.X..rcv.glm.prob 0.8740747
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9839495
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9274426
## Party.fctr.All.X..rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.range.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X.range.rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9532567
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2888450
## Party.fctr.RFE.X..rcv.rf.prob 0.5523091
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9683422
## Party.fctr.RFE.X..rcv.nnet.prob 0.7286555
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7599499
## Party.fctr.All.X..rcv.glm.prob 0.8611484
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9169026
## Party.fctr.All.X..rcv.glmnet.prob 0.9839495
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9839495
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.9839495
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.8952551
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2233505
## Party.fctr.RFE.X..rcv.rf.prob 0.5177145
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.nnet.prob 0.6727984
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7207729
## Party.fctr.All.X..rcv.glm.prob 0.8062761
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9683422
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.8566523
## Party.fctr.All.X..rcv.glmnet.prob 0.9122701
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.9122701
## Party.fctr.All.X.ica.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.3169478
## Party.fctr.All.X.ica.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.rf.prob 0.1846677
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.2233505
## Party.fctr.RFE.X..rcv.nnet.prob 0.3454953
## Party.fctr.RFE.X..rcv.avNNet.prob 0.3250021
## Party.fctr.All.X..rcv.glm.prob 0.2840822
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.2888450
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.3166969
## Party.fctr.All.X..rcv.glmnet.prob 0.3232876
## Party.fctr.All.X.range.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 0.8432586
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## 0.8420253
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## 0.8419260
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## 0.8398483
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## 0.8376888
## Party.fctr.All.X.range.rcv.glmnet.prob
## 0.8376888
## Party.fctr.All.X..rcv.glmnet.prob
## 0.8376888
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## 0.8317715
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## 0.8243251
## Party.fctr.All.X..rcv.glm.prob
## 0.8042897
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## 0.7831644
## Party.fctr.RFE.X..rcv.avNNet.prob
## 0.7562863
## Party.fctr.RFE.X..rcv.nnet.prob
## 0.7289011
## Party.fctr.RFE.X..rcv.rf.prob
## 0.5796868
## Party.fctr.All.X.ica.rcv.glmnet.prob
## 0.3545792
## [1] "myfit_mdl: enter: 0.000000 secs"
## [1] "myfit_mdl: fitting model: Ensemble.auto.13##rcv#glmnet"
## [1] " indepVar: Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob,Party.fctr.RFE.X..rcv.avNNet.prob,Party.fctr.All.X..rcv.glm.prob,Party.fctr.All.X.expoTrans.rcv.glmnet.prob,Party.fctr.All.X.zv.pca.rcv.glmnet.prob,Party.fctr.All.X..rcv.glmnet.prob,Party.fctr.All.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob"
## [1] "myfit_mdl: setup complete: 0.770000 secs"
## Aggregating results
## Selecting tuning parameters
## Fitting alpha = 0.55, lambda = 0.212 on full training set
## [1] "myfit_mdl: train complete: 4.481000 secs"## Warning in myfit_mdl(mdl_specs_lst = thsMdlSpecs, indepVar = thsIndepVar, :
## model's bestTune found at an extreme of tuneGrid for parameter: lambda
## Length Class Mode
## a0 96 -none- numeric
## beta 1344 dgCMatrix S4
## df 96 -none- numeric
## dim 2 -none- numeric
## lambda 96 -none- numeric
## dev.ratio 96 -none- numeric
## nulldev 1 -none- numeric
## npasses 1 -none- numeric
## jerr 1 -none- numeric
## offset 1 -none- logical
## classnames 2 -none- character
## call 5 -none- call
## nobs 1 -none- numeric
## lambdaOpt 1 -none- numeric
## xNames 14 -none- character
## problemType 1 -none- character
## tuneValue 2 data.frame list
## obsLevels 2 -none- character
## [1] "min lambda > lambdaOpt:"
## (Intercept) Party.fctr.RFE.X..rcv.avNNet.prob
## -1.8570366 0.4406734
## Party.fctr.RFE.X..rcv.rf.prob
## 3.1914988
## [1] "max lambda < lambdaOpt:"
## (Intercept) Party.fctr.RFE.X..rcv.avNNet.prob
## -1.9848102 0.4918495
## Party.fctr.RFE.X..rcv.rf.prob
## 3.4039550
## [1] "myfit_mdl: train diagnostics complete: 5.130000 secs"
## [1] "mypredict_mdl: maxMetricDf:"
## threshold f.score accuracy
## 9 0.40 1 1
## 10 0.45 1 1
## 11 0.50 1 1
## 12 0.55 1 1
## Prediction
## Reference D R
## D 2360 0
## R 0 2093
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 1.0000000 1.0000000 0.9991719 1.0000000 0.5299798
## AccuracyPValue McnemarPValue
## 0.0000000 NaN
## Prediction
## Reference D R
## D 512 79
## R 405 119
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 5.659193e-01 9.684265e-02 5.362369e-01 5.952529e-01 5.300448e-01
## AccuracyPValue McnemarPValue
## 8.804008e-03 2.196421e-49
## [1] "myfit_mdl: predict complete: 18.977000 secs"
## id
## 1 Ensemble.auto.13##rcv#glmnet
## feats
## 1 Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob,Party.fctr.RFE.X..rcv.avNNet.prob,Party.fctr.All.X..rcv.glm.prob,Party.fctr.All.X.expoTrans.rcv.glmnet.prob,Party.fctr.All.X.zv.pca.rcv.glmnet.prob,Party.fctr.All.X..rcv.glmnet.prob,Party.fctr.All.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 25 3.698 0.131
## max.AUCpROC.fit max.Sens.fit max.Spec.fit max.AUCROCR.fit
## 1 1 1 1 1
## opt.prob.threshold.fit max.f.score.fit max.Accuracy.fit
## 1 0.5 1 1
## max.AccuracyLower.fit max.AccuracyUpper.fit max.Kappa.fit
## 1 0.9991719 1 1
## max.AUCpROC.OOB max.Sens.OOB max.Spec.OOB max.AUCROCR.OOB
## 1 0.552158 0.5871404 0.5171756 0.5560006
## opt.prob.threshold.OOB max.f.score.OOB max.Accuracy.OOB
## 1 0.6 0.3296399 0.5659193
## max.AccuracyLower.OOB max.AccuracyUpper.OOB max.Kappa.OOB
## 1 0.5362369 0.5952529 0.09684265
## max.AccuracySD.fit max.KappaSD.fit
## 1 0 0
## [1] "myfit_mdl: exit: 19.119000 secs"
## glmnet variable importance
##
## Overall
## Party.fctr.RFE.X..rcv.rf.prob 100.00
## Party.fctr.RFE.X..rcv.avNNet.prob 14.13
## .rnorm 0.00
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X..rcv.nnet.prob 0.00
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.00
## Party.fctr.All.X..rcv.glm.prob 0.00
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.00
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.00
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.00
## Party.fctr.All.X..rcv.glmnet.prob 0.00
## Party.fctr.All.X.range.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X..rcv.rf.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.5849997
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.1846677
## Party.fctr.RFE.X..rcv.rf.prob 1.0000000
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.5177145
## Party.fctr.RFE.X..rcv.nnet.prob 0.5627205
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7359313
## Party.fctr.All.X..rcv.glm.prob 0.5767768
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.5523091
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.5625146
## Party.fctr.All.X..rcv.glmnet.prob 0.5595358
## Party.fctr.All.X.range.rcv.glmnet.prob 0.5595358
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.5595358
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.5638367
## Party.fctr.RFE.X..rcv.avNNet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.8074771
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3250021
## Party.fctr.RFE.X..rcv.rf.prob 0.7359313
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.7207729
## Party.fctr.RFE.X..rcv.nnet.prob 0.8072394
## Party.fctr.RFE.X..rcv.avNNet.prob 1.0000000
## Party.fctr.All.X..rcv.glm.prob 0.8252145
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.7599499
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.8074028
## Party.fctr.All.X..rcv.glmnet.prob 0.7621485
## Party.fctr.All.X.range.rcv.glmnet.prob 0.7621485
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.7621485
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.7745838
## Party.fctr.RFE.X..rcv.nnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.7891566
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3454953
## Party.fctr.RFE.X..rcv.rf.prob 0.5627205
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.6727984
## Party.fctr.RFE.X..rcv.nnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8072394
## Party.fctr.All.X..rcv.glm.prob 0.8296469
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.7286555
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.7759781
## Party.fctr.All.X..rcv.glmnet.prob 0.7450408
## Party.fctr.All.X.range.rcv.glmnet.prob 0.7450408
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.7450408
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.7538010
## Party.fctr.All.X..rcv.glm.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9255725
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2840822
## Party.fctr.RFE.X..rcv.rf.prob 0.5767768
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8062761
## Party.fctr.RFE.X..rcv.nnet.prob 0.8296469
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8252145
## Party.fctr.All.X..rcv.glm.prob 1.0000000
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.8611484
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9205344
## Party.fctr.All.X..rcv.glmnet.prob 0.8740747
## Party.fctr.All.X.range.rcv.glmnet.prob 0.8740747
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.8740747
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.8769625
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 1.0000000
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3169478
## Party.fctr.RFE.X..rcv.rf.prob 0.5849997
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8952551
## Party.fctr.RFE.X..rcv.nnet.prob 0.7891566
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8074771
## Party.fctr.All.X..rcv.glm.prob 0.9255725
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9532567
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9528914
## Party.fctr.All.X..rcv.glmnet.prob 0.9645156
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9645156
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.9645156
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.9638358
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9528914
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3166969
## Party.fctr.RFE.X..rcv.rf.prob 0.5625146
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8566523
## Party.fctr.RFE.X..rcv.nnet.prob 0.7759781
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8074028
## Party.fctr.All.X..rcv.glm.prob 0.9205344
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9169026
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 1.0000000
## Party.fctr.All.X..rcv.glmnet.prob 0.9274426
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9274426
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.9274426
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.9295067
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9633405
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3611029
## Party.fctr.RFE.X..rcv.rf.prob 0.5695557
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8894315
## Party.fctr.RFE.X..rcv.nnet.prob 0.7771171
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8101480
## Party.fctr.All.X..rcv.glm.prob 0.9014065
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9577354
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9580909
## Party.fctr.All.X..rcv.glmnet.prob 0.9721249
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9721249
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.9721249
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.9767559
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9667987
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3553095
## Party.fctr.RFE.X..rcv.rf.prob 0.5659386
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8949164
## Party.fctr.RFE.X..rcv.nnet.prob 0.7687517
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7956346
## Party.fctr.All.X..rcv.glm.prob 0.9001967
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9636515
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9574912
## Party.fctr.All.X..rcv.glmnet.prob 0.9781410
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9781410
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.9781410
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.9771458
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9638358
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3316990
## Party.fctr.RFE.X..rcv.rf.prob 0.5638367
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9109802
## Party.fctr.RFE.X..rcv.nnet.prob 0.7538010
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7745838
## Party.fctr.All.X..rcv.glm.prob 0.8769625
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9817237
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9295067
## Party.fctr.All.X..rcv.glmnet.prob 0.9970833
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9970833
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.9970833
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7621485
## Party.fctr.All.X..rcv.glm.prob 0.8740747
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9839495
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9274426
## Party.fctr.All.X..rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.range.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X.range.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.9970833
## Party.fctr.All.X.range.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7621485
## Party.fctr.All.X..rcv.glm.prob 0.8740747
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9839495
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9274426
## Party.fctr.All.X..rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.range.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X.range.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.9970833
## Party.fctr.All.X..rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7621485
## Party.fctr.All.X..rcv.glm.prob 0.8740747
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9839495
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9274426
## Party.fctr.All.X..rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.range.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X.range.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.9970833
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9532567
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2888450
## Party.fctr.RFE.X..rcv.rf.prob 0.5523091
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9683422
## Party.fctr.RFE.X..rcv.nnet.prob 0.7286555
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7599499
## Party.fctr.All.X..rcv.glm.prob 0.8611484
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9169026
## Party.fctr.All.X..rcv.glmnet.prob 0.9839495
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9839495
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.9839495
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.9817237
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.8952551
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2233505
## Party.fctr.RFE.X..rcv.rf.prob 0.5177145
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.nnet.prob 0.6727984
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7207729
## Party.fctr.All.X..rcv.glm.prob 0.8062761
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9683422
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.8566523
## Party.fctr.All.X..rcv.glmnet.prob 0.9122701
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.9109802
## Party.fctr.All.X.ica.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.3169478
## Party.fctr.All.X.ica.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.rf.prob 0.1846677
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.2233505
## Party.fctr.RFE.X..rcv.nnet.prob 0.3454953
## Party.fctr.RFE.X..rcv.avNNet.prob 0.3250021
## Party.fctr.All.X..rcv.glm.prob 0.2840822
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.2888450
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.3166969
## Party.fctr.All.X..rcv.glmnet.prob 0.3232876
## Party.fctr.All.X.range.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.3316990
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 0.8525338
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## 0.8523892
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## 0.8523275
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## 0.8521676
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## 0.8499499
## Party.fctr.All.X.range.rcv.glmnet.prob
## 0.8499499
## Party.fctr.All.X..rcv.glmnet.prob
## 0.8499499
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## 0.8433063
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## 0.8324160
## Party.fctr.All.X..rcv.glm.prob
## 0.8098799
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## 0.7929963
## Party.fctr.RFE.X..rcv.avNNet.prob
## 0.7576938
## Party.fctr.RFE.X..rcv.nnet.prob
## 0.7308165
## Party.fctr.RFE.X..rcv.rf.prob
## 0.5784676
## Party.fctr.All.X.ica.rcv.glmnet.prob
## 0.3528192
## [1] "myfit_mdl: enter: 0.000000 secs"
## [1] "myfit_mdl: fitting model: Ensemble.auto.14##rcv#glmnet"
## [1] " indepVar: Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob,Party.fctr.RFE.X..rcv.avNNet.prob,Party.fctr.All.X..rcv.glm.prob,Party.fctr.All.X.expoTrans.rcv.glmnet.prob,Party.fctr.All.X.zv.pca.rcv.glmnet.prob,Party.fctr.All.X..rcv.glmnet.prob,Party.fctr.All.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob,Party.fctr.All.X.nzv.rcv.glmnet.prob"
## [1] "myfit_mdl: setup complete: 0.725000 secs"
## Aggregating results
## Selecting tuning parameters
## Fitting alpha = 0.55, lambda = 0.212 on full training set
## [1] "myfit_mdl: train complete: 4.596000 secs"## Warning in myfit_mdl(mdl_specs_lst = thsMdlSpecs, indepVar = thsIndepVar, :
## model's bestTune found at an extreme of tuneGrid for parameter: lambda
## Length Class Mode
## a0 96 -none- numeric
## beta 1440 dgCMatrix S4
## df 96 -none- numeric
## dim 2 -none- numeric
## lambda 96 -none- numeric
## dev.ratio 96 -none- numeric
## nulldev 1 -none- numeric
## npasses 1 -none- numeric
## jerr 1 -none- numeric
## offset 1 -none- logical
## classnames 2 -none- character
## call 5 -none- call
## nobs 1 -none- numeric
## lambdaOpt 1 -none- numeric
## xNames 15 -none- character
## problemType 1 -none- character
## tuneValue 2 data.frame list
## obsLevels 2 -none- character
## [1] "min lambda > lambdaOpt:"
## (Intercept) Party.fctr.RFE.X..rcv.avNNet.prob
## -1.8570366 0.4406734
## Party.fctr.RFE.X..rcv.rf.prob
## 3.1914988
## [1] "max lambda < lambdaOpt:"
## (Intercept) Party.fctr.RFE.X..rcv.avNNet.prob
## -1.9848102 0.4918495
## Party.fctr.RFE.X..rcv.rf.prob
## 3.4039550
## [1] "myfit_mdl: train diagnostics complete: 5.257000 secs"
## [1] "mypredict_mdl: maxMetricDf:"
## threshold f.score accuracy
## 9 0.40 1 1
## 10 0.45 1 1
## 11 0.50 1 1
## 12 0.55 1 1
## Prediction
## Reference D R
## D 2360 0
## R 0 2093
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 1.0000000 1.0000000 0.9991719 1.0000000 0.5299798
## AccuracyPValue McnemarPValue
## 0.0000000 NaN
## Prediction
## Reference D R
## D 512 79
## R 405 119
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 5.659193e-01 9.684265e-02 5.362369e-01 5.952529e-01 5.300448e-01
## AccuracyPValue McnemarPValue
## 8.804008e-03 2.196421e-49
## [1] "myfit_mdl: predict complete: 19.196000 secs"
## id
## 1 Ensemble.auto.14##rcv#glmnet
## feats
## 1 Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob,Party.fctr.RFE.X..rcv.avNNet.prob,Party.fctr.All.X..rcv.glm.prob,Party.fctr.All.X.expoTrans.rcv.glmnet.prob,Party.fctr.All.X.zv.pca.rcv.glmnet.prob,Party.fctr.All.X..rcv.glmnet.prob,Party.fctr.All.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob,Party.fctr.All.X.nzv.rcv.glmnet.prob
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 25 3.855 0.134
## max.AUCpROC.fit max.Sens.fit max.Spec.fit max.AUCROCR.fit
## 1 1 1 1 1
## opt.prob.threshold.fit max.f.score.fit max.Accuracy.fit
## 1 0.5 1 1
## max.AccuracyLower.fit max.AccuracyUpper.fit max.Kappa.fit
## 1 0.9991719 1 1
## max.AUCpROC.OOB max.Sens.OOB max.Spec.OOB max.AUCROCR.OOB
## 1 0.552158 0.5871404 0.5171756 0.5560006
## opt.prob.threshold.OOB max.f.score.OOB max.Accuracy.OOB
## 1 0.6 0.3296399 0.5659193
## max.AccuracyLower.OOB max.AccuracyUpper.OOB max.Kappa.OOB
## 1 0.5362369 0.5952529 0.09684265
## max.AccuracySD.fit max.KappaSD.fit
## 1 0 0
## [1] "myfit_mdl: exit: 19.337000 secs"
## glmnet variable importance
##
## Overall
## Party.fctr.RFE.X..rcv.rf.prob 100.00
## Party.fctr.RFE.X..rcv.avNNet.prob 14.13
## .rnorm 0.00
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.00
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.00
## Party.fctr.All.X.range.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.00
## Party.fctr.All.X..rcv.glm.prob 0.00
## Party.fctr.RFE.X..rcv.nnet.prob 0.00
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.00
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.00
## Party.fctr.All.X..rcv.glmnet.prob 0.00
## Party.fctr.All.X.nzv.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X..rcv.rf.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.5849997
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.1846677
## Party.fctr.RFE.X..rcv.rf.prob 1.0000000
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.5177145
## Party.fctr.RFE.X..rcv.nnet.prob 0.5627205
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7359313
## Party.fctr.All.X..rcv.glm.prob 0.5767768
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.5523091
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.5625146
## Party.fctr.All.X..rcv.glmnet.prob 0.5595358
## Party.fctr.All.X.range.rcv.glmnet.prob 0.5595358
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.5595358
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.5638367
## Party.fctr.All.X.nzv.rcv.glmnet.prob 0.5659386
## Party.fctr.RFE.X..rcv.avNNet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.8074771
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3250021
## Party.fctr.RFE.X..rcv.rf.prob 0.7359313
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.7207729
## Party.fctr.RFE.X..rcv.nnet.prob 0.8072394
## Party.fctr.RFE.X..rcv.avNNet.prob 1.0000000
## Party.fctr.All.X..rcv.glm.prob 0.8252145
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.7599499
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.8074028
## Party.fctr.All.X..rcv.glmnet.prob 0.7621485
## Party.fctr.All.X.range.rcv.glmnet.prob 0.7621485
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.7621485
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.7745838
## Party.fctr.All.X.nzv.rcv.glmnet.prob 0.7956346
## Party.fctr.RFE.X..rcv.nnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.7891566
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3454953
## Party.fctr.RFE.X..rcv.rf.prob 0.5627205
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.6727984
## Party.fctr.RFE.X..rcv.nnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8072394
## Party.fctr.All.X..rcv.glm.prob 0.8296469
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.7286555
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.7759781
## Party.fctr.All.X..rcv.glmnet.prob 0.7450408
## Party.fctr.All.X.range.rcv.glmnet.prob 0.7450408
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.7450408
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.7538010
## Party.fctr.All.X.nzv.rcv.glmnet.prob 0.7687517
## Party.fctr.All.X..rcv.glm.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9255725
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2840822
## Party.fctr.RFE.X..rcv.rf.prob 0.5767768
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8062761
## Party.fctr.RFE.X..rcv.nnet.prob 0.8296469
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8252145
## Party.fctr.All.X..rcv.glm.prob 1.0000000
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.8611484
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9205344
## Party.fctr.All.X..rcv.glmnet.prob 0.8740747
## Party.fctr.All.X.range.rcv.glmnet.prob 0.8740747
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.8740747
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.8769625
## Party.fctr.All.X.nzv.rcv.glmnet.prob 0.9001967
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 1.0000000
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3169478
## Party.fctr.RFE.X..rcv.rf.prob 0.5849997
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8952551
## Party.fctr.RFE.X..rcv.nnet.prob 0.7891566
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8074771
## Party.fctr.All.X..rcv.glm.prob 0.9255725
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9532567
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9528914
## Party.fctr.All.X..rcv.glmnet.prob 0.9645156
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9645156
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.9645156
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.9638358
## Party.fctr.All.X.nzv.rcv.glmnet.prob 0.9667987
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9528914
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3166969
## Party.fctr.RFE.X..rcv.rf.prob 0.5625146
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8566523
## Party.fctr.RFE.X..rcv.nnet.prob 0.7759781
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8074028
## Party.fctr.All.X..rcv.glm.prob 0.9205344
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9169026
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 1.0000000
## Party.fctr.All.X..rcv.glmnet.prob 0.9274426
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9274426
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.9274426
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.9295067
## Party.fctr.All.X.nzv.rcv.glmnet.prob 0.9574912
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9633405
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3611029
## Party.fctr.RFE.X..rcv.rf.prob 0.5695557
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8894315
## Party.fctr.RFE.X..rcv.nnet.prob 0.7771171
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8101480
## Party.fctr.All.X..rcv.glm.prob 0.9014065
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9577354
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9580909
## Party.fctr.All.X..rcv.glmnet.prob 0.9721249
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9721249
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.9721249
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.9767559
## Party.fctr.All.X.nzv.rcv.glmnet.prob 0.9962762
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9667987
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3553095
## Party.fctr.RFE.X..rcv.rf.prob 0.5659386
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8949164
## Party.fctr.RFE.X..rcv.nnet.prob 0.7687517
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7956346
## Party.fctr.All.X..rcv.glm.prob 0.9001967
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9636515
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9574912
## Party.fctr.All.X..rcv.glmnet.prob 0.9781410
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9781410
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.9781410
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.9771458
## Party.fctr.All.X.nzv.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9638358
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3316990
## Party.fctr.RFE.X..rcv.rf.prob 0.5638367
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9109802
## Party.fctr.RFE.X..rcv.nnet.prob 0.7538010
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7745838
## Party.fctr.All.X..rcv.glm.prob 0.8769625
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9817237
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9295067
## Party.fctr.All.X..rcv.glmnet.prob 0.9970833
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9970833
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.9970833
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.nzv.rcv.glmnet.prob 0.9771458
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7621485
## Party.fctr.All.X..rcv.glm.prob 0.8740747
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9839495
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9274426
## Party.fctr.All.X..rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.range.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X.range.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.9970833
## Party.fctr.All.X.nzv.rcv.glmnet.prob 0.9781410
## Party.fctr.All.X.range.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7621485
## Party.fctr.All.X..rcv.glm.prob 0.8740747
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9839495
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9274426
## Party.fctr.All.X..rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.range.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X.range.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.9970833
## Party.fctr.All.X.nzv.rcv.glmnet.prob 0.9781410
## Party.fctr.All.X..rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7621485
## Party.fctr.All.X..rcv.glm.prob 0.8740747
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9839495
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9274426
## Party.fctr.All.X..rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.range.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X.range.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.9970833
## Party.fctr.All.X.nzv.rcv.glmnet.prob 0.9781410
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9532567
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2888450
## Party.fctr.RFE.X..rcv.rf.prob 0.5523091
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9683422
## Party.fctr.RFE.X..rcv.nnet.prob 0.7286555
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7599499
## Party.fctr.All.X..rcv.glm.prob 0.8611484
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9169026
## Party.fctr.All.X..rcv.glmnet.prob 0.9839495
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9839495
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.9839495
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.9817237
## Party.fctr.All.X.nzv.rcv.glmnet.prob 0.9636515
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.8952551
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2233505
## Party.fctr.RFE.X..rcv.rf.prob 0.5177145
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.nnet.prob 0.6727984
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7207729
## Party.fctr.All.X..rcv.glm.prob 0.8062761
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9683422
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.8566523
## Party.fctr.All.X..rcv.glmnet.prob 0.9122701
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.9109802
## Party.fctr.All.X.nzv.rcv.glmnet.prob 0.8949164
## Party.fctr.All.X.ica.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.3169478
## Party.fctr.All.X.ica.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.rf.prob 0.1846677
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.2233505
## Party.fctr.RFE.X..rcv.nnet.prob 0.3454953
## Party.fctr.RFE.X..rcv.avNNet.prob 0.3250021
## Party.fctr.All.X..rcv.glm.prob 0.2840822
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.2888450
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.3166969
## Party.fctr.All.X..rcv.glmnet.prob 0.3232876
## Party.fctr.All.X.range.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.3316990
## Party.fctr.All.X.nzv.rcv.glmnet.prob 0.3553095
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## 0.8628756
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## 0.8626668
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## 0.8610946
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 0.8606956
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## 0.8591064
## Party.fctr.All.X.range.rcv.glmnet.prob
## 0.8591064
## Party.fctr.All.X..rcv.glmnet.prob
## 0.8591064
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## 0.8519024
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## 0.8413499
## Party.fctr.All.X..rcv.glm.prob
## 0.8163311
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## 0.8002764
## Party.fctr.RFE.X..rcv.avNNet.prob
## 0.7604039
## Party.fctr.RFE.X..rcv.nnet.prob
## 0.7335261
## Party.fctr.RFE.X..rcv.rf.prob
## 0.5775726
## Party.fctr.All.X.ica.rcv.glmnet.prob
## 0.3529971
## [1] "myfit_mdl: enter: 0.000000 secs"
## [1] "myfit_mdl: fitting model: Ensemble.auto.15##rcv#glmnet"
## [1] " indepVar: Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob,Party.fctr.RFE.X..rcv.avNNet.prob,Party.fctr.All.X..rcv.glm.prob,Party.fctr.All.X.expoTrans.rcv.glmnet.prob,Party.fctr.All.X.zv.pca.rcv.glmnet.prob,Party.fctr.All.X..rcv.glmnet.prob,Party.fctr.All.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob,Party.fctr.All.X.nzv.rcv.glmnet.prob,Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob"
## [1] "myfit_mdl: setup complete: 0.716000 secs"
## Aggregating results
## Selecting tuning parameters
## Fitting alpha = 0.55, lambda = 0.212 on full training set
## [1] "myfit_mdl: train complete: 4.613000 secs"## Warning in myfit_mdl(mdl_specs_lst = thsMdlSpecs, indepVar = thsIndepVar, :
## model's bestTune found at an extreme of tuneGrid for parameter: lambda
## Length Class Mode
## a0 96 -none- numeric
## beta 1536 dgCMatrix S4
## df 96 -none- numeric
## dim 2 -none- numeric
## lambda 96 -none- numeric
## dev.ratio 96 -none- numeric
## nulldev 1 -none- numeric
## npasses 1 -none- numeric
## jerr 1 -none- numeric
## offset 1 -none- logical
## classnames 2 -none- character
## call 5 -none- call
## nobs 1 -none- numeric
## lambdaOpt 1 -none- numeric
## xNames 16 -none- character
## problemType 1 -none- character
## tuneValue 2 data.frame list
## obsLevels 2 -none- character
## [1] "min lambda > lambdaOpt:"
## (Intercept) Party.fctr.RFE.X..rcv.avNNet.prob
## -1.8570366 0.4406734
## Party.fctr.RFE.X..rcv.rf.prob
## 3.1914988
## [1] "max lambda < lambdaOpt:"
## (Intercept) Party.fctr.RFE.X..rcv.avNNet.prob
## -1.9848102 0.4918495
## Party.fctr.RFE.X..rcv.rf.prob
## 3.4039550
## [1] "myfit_mdl: train diagnostics complete: 5.289000 secs"
## [1] "mypredict_mdl: maxMetricDf:"
## threshold f.score accuracy
## 9 0.40 1 1
## 10 0.45 1 1
## 11 0.50 1 1
## 12 0.55 1 1
## Prediction
## Reference D R
## D 2360 0
## R 0 2093
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 1.0000000 1.0000000 0.9991719 1.0000000 0.5299798
## AccuracyPValue McnemarPValue
## 0.0000000 NaN
## Prediction
## Reference D R
## D 512 79
## R 405 119
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 5.659193e-01 9.684265e-02 5.362369e-01 5.952529e-01 5.300448e-01
## AccuracyPValue McnemarPValue
## 8.804008e-03 2.196421e-49
## [1] "myfit_mdl: predict complete: 22.675000 secs"
## id
## 1 Ensemble.auto.15##rcv#glmnet
## feats
## 1 Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob,Party.fctr.RFE.X..rcv.avNNet.prob,Party.fctr.All.X..rcv.glm.prob,Party.fctr.All.X.expoTrans.rcv.glmnet.prob,Party.fctr.All.X.zv.pca.rcv.glmnet.prob,Party.fctr.All.X..rcv.glmnet.prob,Party.fctr.All.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob,Party.fctr.All.X.nzv.rcv.glmnet.prob,Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 25 3.881 0.138
## max.AUCpROC.fit max.Sens.fit max.Spec.fit max.AUCROCR.fit
## 1 1 1 1 1
## opt.prob.threshold.fit max.f.score.fit max.Accuracy.fit
## 1 0.5 1 1
## max.AccuracyLower.fit max.AccuracyUpper.fit max.Kappa.fit
## 1 0.9991719 1 1
## max.AUCpROC.OOB max.Sens.OOB max.Spec.OOB max.AUCROCR.OOB
## 1 0.552158 0.5871404 0.5171756 0.5560006
## opt.prob.threshold.OOB max.f.score.OOB max.Accuracy.OOB
## 1 0.6 0.3296399 0.5659193
## max.AccuracyLower.OOB max.AccuracyUpper.OOB max.Kappa.OOB
## 1 0.5362369 0.5952529 0.09684265
## max.AccuracySD.fit max.KappaSD.fit
## 1 0 0
## [1] "myfit_mdl: exit: 22.823000 secs"
## glmnet variable importance
##
## Overall
## Party.fctr.RFE.X..rcv.rf.prob 100.00
## Party.fctr.RFE.X..rcv.avNNet.prob 14.13
## .rnorm 0.00
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.00
## Party.fctr.All.X.range.rcv.glmnet.prob 0.00
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.00
## Party.fctr.All.X..rcv.glm.prob 0.00
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X..rcv.nnet.prob 0.00
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.00
## Party.fctr.All.X..rcv.glmnet.prob 0.00
## Party.fctr.All.X.nzv.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.00
## Party.fctr.RFE.X..rcv.rf.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.5849997
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.1846677
## Party.fctr.RFE.X..rcv.rf.prob 1.0000000
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.5177145
## Party.fctr.RFE.X..rcv.nnet.prob 0.5627205
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7359313
## Party.fctr.All.X..rcv.glm.prob 0.5767768
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.5523091
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.5625146
## Party.fctr.All.X..rcv.glmnet.prob 0.5595358
## Party.fctr.All.X.range.rcv.glmnet.prob 0.5595358
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.5595358
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.5638367
## Party.fctr.All.X.nzv.rcv.glmnet.prob 0.5659386
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob 0.5695557
## Party.fctr.RFE.X..rcv.avNNet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.8074771
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3250021
## Party.fctr.RFE.X..rcv.rf.prob 0.7359313
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.7207729
## Party.fctr.RFE.X..rcv.nnet.prob 0.8072394
## Party.fctr.RFE.X..rcv.avNNet.prob 1.0000000
## Party.fctr.All.X..rcv.glm.prob 0.8252145
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.7599499
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.8074028
## Party.fctr.All.X..rcv.glmnet.prob 0.7621485
## Party.fctr.All.X.range.rcv.glmnet.prob 0.7621485
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.7621485
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.7745838
## Party.fctr.All.X.nzv.rcv.glmnet.prob 0.7956346
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob 0.8101480
## Party.fctr.RFE.X..rcv.nnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.7891566
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3454953
## Party.fctr.RFE.X..rcv.rf.prob 0.5627205
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.6727984
## Party.fctr.RFE.X..rcv.nnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8072394
## Party.fctr.All.X..rcv.glm.prob 0.8296469
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.7286555
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.7759781
## Party.fctr.All.X..rcv.glmnet.prob 0.7450408
## Party.fctr.All.X.range.rcv.glmnet.prob 0.7450408
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.7450408
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.7538010
## Party.fctr.All.X.nzv.rcv.glmnet.prob 0.7687517
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob 0.7771171
## Party.fctr.All.X..rcv.glm.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9255725
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2840822
## Party.fctr.RFE.X..rcv.rf.prob 0.5767768
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8062761
## Party.fctr.RFE.X..rcv.nnet.prob 0.8296469
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8252145
## Party.fctr.All.X..rcv.glm.prob 1.0000000
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.8611484
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9205344
## Party.fctr.All.X..rcv.glmnet.prob 0.8740747
## Party.fctr.All.X.range.rcv.glmnet.prob 0.8740747
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.8740747
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.8769625
## Party.fctr.All.X.nzv.rcv.glmnet.prob 0.9001967
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob 0.9014065
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 1.0000000
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3169478
## Party.fctr.RFE.X..rcv.rf.prob 0.5849997
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8952551
## Party.fctr.RFE.X..rcv.nnet.prob 0.7891566
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8074771
## Party.fctr.All.X..rcv.glm.prob 0.9255725
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9532567
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9528914
## Party.fctr.All.X..rcv.glmnet.prob 0.9645156
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9645156
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.9645156
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.9638358
## Party.fctr.All.X.nzv.rcv.glmnet.prob 0.9667987
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob 0.9633405
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9528914
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3166969
## Party.fctr.RFE.X..rcv.rf.prob 0.5625146
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8566523
## Party.fctr.RFE.X..rcv.nnet.prob 0.7759781
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8074028
## Party.fctr.All.X..rcv.glm.prob 0.9205344
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9169026
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 1.0000000
## Party.fctr.All.X..rcv.glmnet.prob 0.9274426
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9274426
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.9274426
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.9295067
## Party.fctr.All.X.nzv.rcv.glmnet.prob 0.9574912
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob 0.9580909
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9633405
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3611029
## Party.fctr.RFE.X..rcv.rf.prob 0.5695557
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8894315
## Party.fctr.RFE.X..rcv.nnet.prob 0.7771171
## Party.fctr.RFE.X..rcv.avNNet.prob 0.8101480
## Party.fctr.All.X..rcv.glm.prob 0.9014065
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9577354
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9580909
## Party.fctr.All.X..rcv.glmnet.prob 0.9721249
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9721249
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.9721249
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.9767559
## Party.fctr.All.X.nzv.rcv.glmnet.prob 0.9962762
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9667987
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3553095
## Party.fctr.RFE.X..rcv.rf.prob 0.5659386
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.8949164
## Party.fctr.RFE.X..rcv.nnet.prob 0.7687517
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7956346
## Party.fctr.All.X..rcv.glm.prob 0.9001967
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9636515
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9574912
## Party.fctr.All.X..rcv.glmnet.prob 0.9781410
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9781410
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.9781410
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.9771458
## Party.fctr.All.X.nzv.rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob 0.9962762
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9638358
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3316990
## Party.fctr.RFE.X..rcv.rf.prob 0.5638367
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9109802
## Party.fctr.RFE.X..rcv.nnet.prob 0.7538010
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7745838
## Party.fctr.All.X..rcv.glm.prob 0.8769625
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9817237
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9295067
## Party.fctr.All.X..rcv.glmnet.prob 0.9970833
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9970833
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.9970833
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.nzv.rcv.glmnet.prob 0.9771458
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob 0.9767559
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7621485
## Party.fctr.All.X..rcv.glm.prob 0.8740747
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9839495
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9274426
## Party.fctr.All.X..rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.range.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X.range.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.9970833
## Party.fctr.All.X.nzv.rcv.glmnet.prob 0.9781410
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob 0.9721249
## Party.fctr.All.X.range.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7621485
## Party.fctr.All.X..rcv.glm.prob 0.8740747
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9839495
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9274426
## Party.fctr.All.X..rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.range.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X.range.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.9970833
## Party.fctr.All.X.nzv.rcv.glmnet.prob 0.9781410
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob 0.9721249
## Party.fctr.All.X..rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9645156
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X..rcv.rf.prob 0.5595358
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X..rcv.nnet.prob 0.7450408
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7621485
## Party.fctr.All.X..rcv.glm.prob 0.8740747
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9839495
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9274426
## Party.fctr.All.X..rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.range.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X.range.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.9970833
## Party.fctr.All.X.nzv.rcv.glmnet.prob 0.9781410
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob 0.9721249
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.9532567
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2888450
## Party.fctr.RFE.X..rcv.rf.prob 0.5523091
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.9683422
## Party.fctr.RFE.X..rcv.nnet.prob 0.7286555
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7599499
## Party.fctr.All.X..rcv.glm.prob 0.8611484
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 1.0000000
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.9169026
## Party.fctr.All.X..rcv.glmnet.prob 0.9839495
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9839495
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.9839495
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.9817237
## Party.fctr.All.X.nzv.rcv.glmnet.prob 0.9636515
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob 0.9577354
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.8952551
## Party.fctr.All.X.ica.rcv.glmnet.prob 0.2233505
## Party.fctr.RFE.X..rcv.rf.prob 0.5177145
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.nnet.prob 0.6727984
## Party.fctr.RFE.X..rcv.avNNet.prob 0.7207729
## Party.fctr.All.X..rcv.glm.prob 0.8062761
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.9683422
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.8566523
## Party.fctr.All.X..rcv.glmnet.prob 0.9122701
## Party.fctr.All.X.range.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.9122701
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.9109802
## Party.fctr.All.X.nzv.rcv.glmnet.prob 0.8949164
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob 0.8894315
## Party.fctr.All.X.ica.rcv.glmnet.prob
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 0.3169478
## Party.fctr.All.X.ica.rcv.glmnet.prob 1.0000000
## Party.fctr.RFE.X..rcv.rf.prob 0.1846677
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob 0.2233505
## Party.fctr.RFE.X..rcv.nnet.prob 0.3454953
## Party.fctr.RFE.X..rcv.avNNet.prob 0.3250021
## Party.fctr.All.X..rcv.glm.prob 0.2840822
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob 0.2888450
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob 0.3166969
## Party.fctr.All.X..rcv.glmnet.prob 0.3232876
## Party.fctr.All.X.range.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X.range.rcv.glmnet.prob 0.3232876
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob 0.3316990
## Party.fctr.All.X.nzv.rcv.glmnet.prob 0.3553095
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob 0.3611029
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## 0.8718223
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## 0.8717689
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## 0.8688054
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 0.8675386
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## 0.8666410
## Party.fctr.All.X.range.rcv.glmnet.prob
## 0.8666410
## Party.fctr.All.X..rcv.glmnet.prob
## 0.8666410
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## 0.8589579
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## 0.8491327
## Party.fctr.All.X..rcv.glm.prob
## 0.8220028
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## 0.8062200
## Party.fctr.RFE.X..rcv.avNNet.prob
## 0.7637201
## Party.fctr.RFE.X..rcv.nnet.prob
## 0.7364322
## Party.fctr.RFE.X..rcv.rf.prob
## 0.5770382
## Party.fctr.All.X.ica.rcv.glmnet.prob
## 0.3535375
## [1] "myfit_mdl: enter: 0.000000 secs"
## [1] "myfit_mdl: fitting model: Ensemble.auto.2##boot#glmnet"
## [1] " indepVar: Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob,Party.fctr.RFE.X..rcv.avNNet.prob,Party.fctr.All.X..rcv.glm.prob,Party.fctr.All.X.expoTrans.rcv.glmnet.prob,Party.fctr.All.X.zv.pca.rcv.glmnet.prob,Party.fctr.All.X..rcv.glmnet.prob,Party.fctr.All.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob,Party.fctr.All.X.nzv.rcv.glmnet.prob,Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob"
## [1] "myfit_mdl: setup complete: 0.712000 secs"
## + Resample1: alpha=0.100, lambda=0.2118
## - Resample1: alpha=0.100, lambda=0.2118
## + Resample1: alpha=0.325, lambda=0.2118
## - Resample1: alpha=0.325, lambda=0.2118
## + Resample1: alpha=0.550, lambda=0.2118
## - Resample1: alpha=0.550, lambda=0.2118
## + Resample1: alpha=0.775, lambda=0.2118
## - Resample1: alpha=0.775, lambda=0.2118
## + Resample1: alpha=1.000, lambda=0.2118
## - Resample1: alpha=1.000, lambda=0.2118
## + Resample2: alpha=0.100, lambda=0.2118
## - Resample2: alpha=0.100, lambda=0.2118
## + Resample2: alpha=0.325, lambda=0.2118
## - Resample2: alpha=0.325, lambda=0.2118
## + Resample2: alpha=0.550, lambda=0.2118
## - Resample2: alpha=0.550, lambda=0.2118
## + Resample2: alpha=0.775, lambda=0.2118
## - Resample2: alpha=0.775, lambda=0.2118
## + Resample2: alpha=1.000, lambda=0.2118
## - Resample2: alpha=1.000, lambda=0.2118
## + Resample3: alpha=0.100, lambda=0.2118
## - Resample3: alpha=0.100, lambda=0.2118
## + Resample3: alpha=0.325, lambda=0.2118
## - Resample3: alpha=0.325, lambda=0.2118
## + Resample3: alpha=0.550, lambda=0.2118
## - Resample3: alpha=0.550, lambda=0.2118
## + Resample3: alpha=0.775, lambda=0.2118
## - Resample3: alpha=0.775, lambda=0.2118
## + Resample3: alpha=1.000, lambda=0.2118
## - Resample3: alpha=1.000, lambda=0.2118
## Aggregating results
## Selecting tuning parameters
## Fitting alpha = 0.55, lambda = 0.212 on full training set
## [1] "myfit_mdl: train complete: 5.776000 secs"## Warning in myfit_mdl(mdl_specs_lst = thsMdlSpecs, indepVar = thsIndepVar, :
## model's bestTune found at an extreme of tuneGrid for parameter: lambda
## Length Class Mode
## a0 96 -none- numeric
## beta 1536 dgCMatrix S4
## df 96 -none- numeric
## dim 2 -none- numeric
## lambda 96 -none- numeric
## dev.ratio 96 -none- numeric
## nulldev 1 -none- numeric
## npasses 1 -none- numeric
## jerr 1 -none- numeric
## offset 1 -none- logical
## classnames 2 -none- character
## call 5 -none- call
## nobs 1 -none- numeric
## lambdaOpt 1 -none- numeric
## xNames 16 -none- character
## problemType 1 -none- character
## tuneValue 2 data.frame list
## obsLevels 2 -none- character
## [1] "min lambda > lambdaOpt:"
## (Intercept) Party.fctr.RFE.X..rcv.avNNet.prob
## -1.8570366 0.4406734
## Party.fctr.RFE.X..rcv.rf.prob
## 3.1914988
## [1] "max lambda < lambdaOpt:"
## (Intercept) Party.fctr.RFE.X..rcv.avNNet.prob
## -1.9848102 0.4918495
## Party.fctr.RFE.X..rcv.rf.prob
## 3.4039550
## [1] "myfit_mdl: train diagnostics complete: 6.456000 secs"
## [1] "mypredict_mdl: maxMetricDf:"
## threshold f.score accuracy
## 9 0.40 1 1
## 10 0.45 1 1
## 11 0.50 1 1
## 12 0.55 1 1
## Prediction
## Reference D R
## D 2360 0
## R 0 2093
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 1.0000000 1.0000000 0.9991719 1.0000000 0.5299798
## AccuracyPValue McnemarPValue
## 0.0000000 NaN
## Prediction
## Reference D R
## D 512 79
## R 405 119
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 5.659193e-01 9.684265e-02 5.362369e-01 5.952529e-01 5.300448e-01
## AccuracyPValue McnemarPValue
## 8.804008e-03 2.196421e-49
## [1] "myfit_mdl: predict complete: 20.374000 secs"
## id
## 1 Ensemble.auto.2##boot#glmnet
## feats
## 1 Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob,Party.fctr.RFE.X..rcv.avNNet.prob,Party.fctr.All.X..rcv.glm.prob,Party.fctr.All.X.expoTrans.rcv.glmnet.prob,Party.fctr.All.X.zv.pca.rcv.glmnet.prob,Party.fctr.All.X..rcv.glmnet.prob,Party.fctr.All.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob,Party.fctr.All.X.nzv.rcv.glmnet.prob,Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 25 5.048 0.138
## max.AUCpROC.fit max.Sens.fit max.Spec.fit max.AUCROCR.fit
## 1 1 1 1 1
## opt.prob.threshold.fit max.f.score.fit max.Accuracy.fit
## 1 0.5 1 1
## max.AccuracyLower.fit max.AccuracyUpper.fit max.Kappa.fit
## 1 0.9991719 1 1
## max.AUCpROC.OOB max.Sens.OOB max.Spec.OOB max.AUCROCR.OOB
## 1 0.552158 0.5871404 0.5171756 0.5560006
## opt.prob.threshold.OOB max.f.score.OOB max.Accuracy.OOB
## 1 0.6 0.3296399 0.5659193
## max.AccuracyLower.OOB max.AccuracyUpper.OOB max.Kappa.OOB
## 1 0.5362369 0.5952529 0.09684265
## max.AccuracySD.fit max.KappaSD.fit
## 1 0 0
## [1] "myfit_mdl: exit: 20.516000 secs"
## [1] "myfit_mdl: enter: 0.000000 secs"
## [1] "myfit_mdl: fitting model: Ensemble.auto.2##boot632#glmnet"
## [1] " indepVar: Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob,Party.fctr.RFE.X..rcv.avNNet.prob,Party.fctr.All.X..rcv.glm.prob,Party.fctr.All.X.expoTrans.rcv.glmnet.prob,Party.fctr.All.X.zv.pca.rcv.glmnet.prob,Party.fctr.All.X..rcv.glmnet.prob,Party.fctr.All.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob,Party.fctr.All.X.nzv.rcv.glmnet.prob,Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob"
## [1] "myfit_mdl: setup complete: 0.747000 secs"
## + AllData: alpha=0.100, lambda=0.2118
## - AllData: alpha=0.100, lambda=0.2118
## + AllData: alpha=0.325, lambda=0.2118
## - AllData: alpha=0.325, lambda=0.2118
## + AllData: alpha=0.550, lambda=0.2118
## - AllData: alpha=0.550, lambda=0.2118
## + AllData: alpha=0.775, lambda=0.2118
## - AllData: alpha=0.775, lambda=0.2118
## + AllData: alpha=1.000, lambda=0.2118
## - AllData: alpha=1.000, lambda=0.2118
## + Resample1: alpha=0.100, lambda=0.2118
## - Resample1: alpha=0.100, lambda=0.2118
## + Resample1: alpha=0.325, lambda=0.2118
## - Resample1: alpha=0.325, lambda=0.2118
## + Resample1: alpha=0.550, lambda=0.2118
## - Resample1: alpha=0.550, lambda=0.2118
## + Resample1: alpha=0.775, lambda=0.2118
## - Resample1: alpha=0.775, lambda=0.2118
## + Resample1: alpha=1.000, lambda=0.2118
## - Resample1: alpha=1.000, lambda=0.2118
## + Resample2: alpha=0.100, lambda=0.2118
## - Resample2: alpha=0.100, lambda=0.2118
## + Resample2: alpha=0.325, lambda=0.2118
## - Resample2: alpha=0.325, lambda=0.2118
## + Resample2: alpha=0.550, lambda=0.2118
## - Resample2: alpha=0.550, lambda=0.2118
## + Resample2: alpha=0.775, lambda=0.2118
## - Resample2: alpha=0.775, lambda=0.2118
## + Resample2: alpha=1.000, lambda=0.2118
## - Resample2: alpha=1.000, lambda=0.2118
## + Resample3: alpha=0.100, lambda=0.2118
## - Resample3: alpha=0.100, lambda=0.2118
## + Resample3: alpha=0.325, lambda=0.2118
## - Resample3: alpha=0.325, lambda=0.2118
## + Resample3: alpha=0.550, lambda=0.2118
## - Resample3: alpha=0.550, lambda=0.2118
## + Resample3: alpha=0.775, lambda=0.2118
## - Resample3: alpha=0.775, lambda=0.2118
## + Resample3: alpha=1.000, lambda=0.2118
## - Resample3: alpha=1.000, lambda=0.2118
## Aggregating results
## Selecting tuning parameters
## Fitting alpha = 0.55, lambda = 0.212 on full training set
## [1] "myfit_mdl: train complete: 7.995000 secs"## Warning in myfit_mdl(mdl_specs_lst = thsMdlSpecs, indepVar = thsIndepVar, :
## model's bestTune found at an extreme of tuneGrid for parameter: lambda
## Length Class Mode
## a0 96 -none- numeric
## beta 1536 dgCMatrix S4
## df 96 -none- numeric
## dim 2 -none- numeric
## lambda 96 -none- numeric
## dev.ratio 96 -none- numeric
## nulldev 1 -none- numeric
## npasses 1 -none- numeric
## jerr 1 -none- numeric
## offset 1 -none- logical
## classnames 2 -none- character
## call 5 -none- call
## nobs 1 -none- numeric
## lambdaOpt 1 -none- numeric
## xNames 16 -none- character
## problemType 1 -none- character
## tuneValue 2 data.frame list
## obsLevels 2 -none- character
## [1] "min lambda > lambdaOpt:"
## (Intercept) Party.fctr.RFE.X..rcv.avNNet.prob
## -1.8570366 0.4406734
## Party.fctr.RFE.X..rcv.rf.prob
## 3.1914988
## [1] "max lambda < lambdaOpt:"
## (Intercept) Party.fctr.RFE.X..rcv.avNNet.prob
## -1.9848102 0.4918495
## Party.fctr.RFE.X..rcv.rf.prob
## 3.4039550
## [1] "myfit_mdl: train diagnostics complete: 8.654000 secs"
## [1] "mypredict_mdl: maxMetricDf:"
## threshold f.score accuracy
## 9 0.40 1 1
## 10 0.45 1 1
## 11 0.50 1 1
## 12 0.55 1 1
## Prediction
## Reference D R
## D 2360 0
## R 0 2093
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 1.0000000 1.0000000 0.9991719 1.0000000 0.5299798
## AccuracyPValue McnemarPValue
## 0.0000000 NaN
## Prediction
## Reference D R
## D 512 79
## R 405 119
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 5.659193e-01 9.684265e-02 5.362369e-01 5.952529e-01 5.300448e-01
## AccuracyPValue McnemarPValue
## 8.804008e-03 2.196421e-49
## [1] "myfit_mdl: predict complete: 22.348000 secs"
## id
## 1 Ensemble.auto.2##boot632#glmnet
## feats
## 1 Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob,Party.fctr.RFE.X..rcv.avNNet.prob,Party.fctr.All.X..rcv.glm.prob,Party.fctr.All.X.expoTrans.rcv.glmnet.prob,Party.fctr.All.X.zv.pca.rcv.glmnet.prob,Party.fctr.All.X..rcv.glmnet.prob,Party.fctr.All.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob,Party.fctr.All.X.nzv.rcv.glmnet.prob,Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 25 7.233 0.139
## max.AUCpROC.fit max.Sens.fit max.Spec.fit max.AUCROCR.fit
## 1 1 1 1 1
## opt.prob.threshold.fit max.f.score.fit max.Accuracy.fit
## 1 0.5 1 1
## max.AccuracyLower.fit max.AccuracyUpper.fit max.Kappa.fit
## 1 0.9991719 1 1
## max.AUCpROC.OOB max.Sens.OOB max.Spec.OOB max.AUCROCR.OOB
## 1 0.552158 0.5871404 0.5171756 0.5560006
## opt.prob.threshold.OOB max.f.score.OOB max.Accuracy.OOB
## 1 0.6 0.3296399 0.5659193
## max.AccuracyLower.OOB max.AccuracyUpper.OOB max.Kappa.OOB
## 1 0.5362369 0.5952529 0.09684265
## max.AccuracySD.fit max.KappaSD.fit max.AccuracyApparent.fit
## 1 0 0 1
## max.KappaApparent.fit
## 1 1
## [1] "myfit_mdl: exit: 22.575000 secs"
## [1] "myfit_mdl: enter: 0.000000 secs"
## [1] "myfit_mdl: fitting model: Ensemble.auto.2##cv#glmnet"
## [1] " indepVar: Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob,Party.fctr.RFE.X..rcv.avNNet.prob,Party.fctr.All.X..rcv.glm.prob,Party.fctr.All.X.expoTrans.rcv.glmnet.prob,Party.fctr.All.X.zv.pca.rcv.glmnet.prob,Party.fctr.All.X..rcv.glmnet.prob,Party.fctr.All.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob,Party.fctr.All.X.nzv.rcv.glmnet.prob,Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob"
## [1] "myfit_mdl: setup complete: 0.704000 secs"
## Aggregating results
## Selecting tuning parameters
## Fitting alpha = 0.55, lambda = 0.212 on full training set
## [1] "myfit_mdl: train complete: 3.376000 secs"## Warning in myfit_mdl(mdl_specs_lst = thsMdlSpecs, indepVar = thsIndepVar, :
## model's bestTune found at an extreme of tuneGrid for parameter: lambda
## Length Class Mode
## a0 96 -none- numeric
## beta 1536 dgCMatrix S4
## df 96 -none- numeric
## dim 2 -none- numeric
## lambda 96 -none- numeric
## dev.ratio 96 -none- numeric
## nulldev 1 -none- numeric
## npasses 1 -none- numeric
## jerr 1 -none- numeric
## offset 1 -none- logical
## classnames 2 -none- character
## call 5 -none- call
## nobs 1 -none- numeric
## lambdaOpt 1 -none- numeric
## xNames 16 -none- character
## problemType 1 -none- character
## tuneValue 2 data.frame list
## obsLevels 2 -none- character
## [1] "min lambda > lambdaOpt:"
## (Intercept) Party.fctr.RFE.X..rcv.avNNet.prob
## -1.8570366 0.4406734
## Party.fctr.RFE.X..rcv.rf.prob
## 3.1914988
## [1] "max lambda < lambdaOpt:"
## (Intercept) Party.fctr.RFE.X..rcv.avNNet.prob
## -1.9848102 0.4918495
## Party.fctr.RFE.X..rcv.rf.prob
## 3.4039550
## [1] "myfit_mdl: train diagnostics complete: 4.106000 secs"
## [1] "mypredict_mdl: maxMetricDf:"
## threshold f.score accuracy
## 9 0.40 1 1
## 10 0.45 1 1
## 11 0.50 1 1
## 12 0.55 1 1
## Prediction
## Reference D R
## D 2360 0
## R 0 2093
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 1.0000000 1.0000000 0.9991719 1.0000000 0.5299798
## AccuracyPValue McnemarPValue
## 0.0000000 NaN
## Prediction
## Reference D R
## D 512 79
## R 405 119
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 5.659193e-01 9.684265e-02 5.362369e-01 5.952529e-01 5.300448e-01
## AccuracyPValue McnemarPValue
## 8.804008e-03 2.196421e-49
## [1] "myfit_mdl: predict complete: 17.936000 secs"
## id
## 1 Ensemble.auto.2##cv#glmnet
## feats
## 1 Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob,Party.fctr.RFE.X..rcv.avNNet.prob,Party.fctr.All.X..rcv.glm.prob,Party.fctr.All.X.expoTrans.rcv.glmnet.prob,Party.fctr.All.X.zv.pca.rcv.glmnet.prob,Party.fctr.All.X..rcv.glmnet.prob,Party.fctr.All.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob,Party.fctr.All.X.nzv.rcv.glmnet.prob,Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 25 2.656 0.138
## max.AUCpROC.fit max.Sens.fit max.Spec.fit max.AUCROCR.fit
## 1 1 1 1 1
## opt.prob.threshold.fit max.f.score.fit max.Accuracy.fit
## 1 0.5 1 1
## max.AccuracyLower.fit max.AccuracyUpper.fit max.Kappa.fit
## 1 0.9991719 1 1
## max.AUCpROC.OOB max.Sens.OOB max.Spec.OOB max.AUCROCR.OOB
## 1 0.552158 0.5871404 0.5171756 0.5560006
## opt.prob.threshold.OOB max.f.score.OOB max.Accuracy.OOB
## 1 0.6 0.3296399 0.5659193
## max.AccuracyLower.OOB max.AccuracyUpper.OOB max.Kappa.OOB
## 1 0.5362369 0.5952529 0.09684265
## max.AccuracySD.fit max.KappaSD.fit
## 1 0 0
## [1] "myfit_mdl: exit: 18.074000 secs"
## [1] "skipping fitting model: Ensemble.auto.2##rcv#glmnet"
## [1] "myfit_mdl: enter: 0.000000 secs"
## [1] "myfit_mdl: fitting model: Ensemble.auto.2##LGOCV#glmnet"
## [1] " indepVar: Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob,Party.fctr.RFE.X..rcv.avNNet.prob,Party.fctr.All.X..rcv.glm.prob,Party.fctr.All.X.expoTrans.rcv.glmnet.prob,Party.fctr.All.X.zv.pca.rcv.glmnet.prob,Party.fctr.All.X..rcv.glmnet.prob,Party.fctr.All.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob,Party.fctr.All.X.nzv.rcv.glmnet.prob,Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob"
## [1] "myfit_mdl: setup complete: 0.704000 secs"
## Aggregating results
## Selecting tuning parameters
## Fitting alpha = 0.55, lambda = 0.212 on full training set
## [1] "myfit_mdl: train complete: 3.477000 secs"## Warning in myfit_mdl(mdl_specs_lst = thsMdlSpecs, indepVar = thsIndepVar, :
## model's bestTune found at an extreme of tuneGrid for parameter: lambda
## Length Class Mode
## a0 96 -none- numeric
## beta 1536 dgCMatrix S4
## df 96 -none- numeric
## dim 2 -none- numeric
## lambda 96 -none- numeric
## dev.ratio 96 -none- numeric
## nulldev 1 -none- numeric
## npasses 1 -none- numeric
## jerr 1 -none- numeric
## offset 1 -none- logical
## classnames 2 -none- character
## call 5 -none- call
## nobs 1 -none- numeric
## lambdaOpt 1 -none- numeric
## xNames 16 -none- character
## problemType 1 -none- character
## tuneValue 2 data.frame list
## obsLevels 2 -none- character
## [1] "min lambda > lambdaOpt:"
## (Intercept) Party.fctr.RFE.X..rcv.avNNet.prob
## -1.8570366 0.4406734
## Party.fctr.RFE.X..rcv.rf.prob
## 3.1914988
## [1] "max lambda < lambdaOpt:"
## (Intercept) Party.fctr.RFE.X..rcv.avNNet.prob
## -1.9848102 0.4918495
## Party.fctr.RFE.X..rcv.rf.prob
## 3.4039550
## [1] "myfit_mdl: train diagnostics complete: 4.155000 secs"
## [1] "mypredict_mdl: maxMetricDf:"
## threshold f.score accuracy
## 9 0.40 1 1
## 10 0.45 1 1
## 11 0.50 1 1
## 12 0.55 1 1
## Prediction
## Reference D R
## D 2360 0
## R 0 2093
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 1.0000000 1.0000000 0.9991719 1.0000000 0.5299798
## AccuracyPValue McnemarPValue
## 0.0000000 NaN
## Prediction
## Reference D R
## D 512 79
## R 405 119
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 5.659193e-01 9.684265e-02 5.362369e-01 5.952529e-01 5.300448e-01
## AccuracyPValue McnemarPValue
## 8.804008e-03 2.196421e-49
## [1] "myfit_mdl: predict complete: 18.073000 secs"
## id
## 1 Ensemble.auto.2##LGOCV#glmnet
## feats
## 1 Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob,Party.fctr.RFE.X..rcv.avNNet.prob,Party.fctr.All.X..rcv.glm.prob,Party.fctr.All.X.expoTrans.rcv.glmnet.prob,Party.fctr.All.X.zv.pca.rcv.glmnet.prob,Party.fctr.All.X..rcv.glmnet.prob,Party.fctr.All.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob,Party.fctr.All.X.nzv.rcv.glmnet.prob,Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 25 2.757 0.138
## max.AUCpROC.fit max.Sens.fit max.Spec.fit max.AUCROCR.fit
## 1 1 1 1 1
## opt.prob.threshold.fit max.f.score.fit max.Accuracy.fit
## 1 0.5 1 1
## max.AccuracyLower.fit max.AccuracyUpper.fit max.Kappa.fit
## 1 0.9991719 1 1
## max.AUCpROC.OOB max.Sens.OOB max.Spec.OOB max.AUCROCR.OOB
## 1 0.552158 0.5871404 0.5171756 0.5560006
## opt.prob.threshold.OOB max.f.score.OOB max.Accuracy.OOB
## 1 0.6 0.3296399 0.5659193
## max.AccuracyLower.OOB max.AccuracyUpper.OOB max.Kappa.OOB
## 1 0.5362369 0.5952529 0.09684265
## max.AccuracySD.fit max.KappaSD.fit
## 1 0 0
## [1] "myfit_mdl: exit: 18.227000 secs"
## [1] "myfit_mdl: enter: 0.000000 secs"
## [1] "myfit_mdl: fitting model: Ensemble.auto.2##adaptive_cv#glmnet"
## [1] " indepVar: Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob,Party.fctr.RFE.X..rcv.avNNet.prob,Party.fctr.All.X..rcv.glm.prob,Party.fctr.All.X.expoTrans.rcv.glmnet.prob,Party.fctr.All.X.zv.pca.rcv.glmnet.prob,Party.fctr.All.X..rcv.glmnet.prob,Party.fctr.All.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob,Party.fctr.All.X.nzv.rcv.glmnet.prob,Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob"
## [1] "myfit_mdl: setup complete: 0.725000 secs"
## o 1 eliminated;24 remain
## o 22 models of 24 were eliminated due to linear dependencies
## o 1 eliminated;1 remains
## Aggregating results
## Selecting tuning parameters
## Fitting alpha = 0.1, lambda = 0.0456 on full training set
## [1] "myfit_mdl: train complete: 6.167000 secs"## Warning in myfit_mdl(mdl_specs_lst = thsMdlSpecs, indepVar = thsIndepVar, :
## model's bestTune found at an extreme of tuneGrid for parameter: alpha
## Length Class Mode
## a0 100 -none- numeric
## beta 1600 dgCMatrix S4
## df 100 -none- numeric
## dim 2 -none- numeric
## lambda 100 -none- numeric
## dev.ratio 100 -none- numeric
## nulldev 1 -none- numeric
## npasses 1 -none- numeric
## jerr 1 -none- numeric
## offset 1 -none- logical
## classnames 2 -none- character
## call 5 -none- call
## nobs 1 -none- numeric
## lambdaOpt 1 -none- numeric
## xNames 16 -none- character
## problemType 1 -none- character
## tuneValue 2 data.frame list
## obsLevels 2 -none- character
## [1] "min lambda > lambdaOpt:"
## (Intercept)
## -3.63430207
## Party.fctr.All.X..rcv.glmnet.prob
## -0.02515902
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## -0.06641737
## Party.fctr.All.X.ica.rcv.glmnet.prob
## -0.44646377
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## -0.01928634
## Party.fctr.All.X.range.rcv.glmnet.prob
## -0.02567766
## Party.fctr.RFE.X..rcv.avNNet.prob
## 1.90766085
## Party.fctr.RFE.X..rcv.nnet.prob
## 0.07532917
## Party.fctr.RFE.X..rcv.rf.prob
## 5.96809493
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## -0.04022132
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## -0.02533417
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## -0.03525588
## [1] "max lambda < lambdaOpt:"
## (Intercept)
## -3.66534235
## Party.fctr.All.X..rcv.glmnet.prob
## -0.04266304
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## -0.08407474
## Party.fctr.All.X.ica.rcv.glmnet.prob
## -0.48953884
## Party.fctr.All.X.nzv.rcv.glmnet.prob
## -0.01790449
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## -0.04604704
## Party.fctr.All.X.range.rcv.glmnet.prob
## -0.04259309
## Party.fctr.RFE.X..rcv.avNNet.prob
## 1.95234372
## Party.fctr.RFE.X..rcv.nnet.prob
## 0.07228477
## Party.fctr.RFE.X..rcv.rf.prob
## 6.17924802
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## -0.05653815
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## -0.04253886
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## -0.05511343
## [1] "myfit_mdl: train diagnostics complete: 6.842000 secs"
## [1] "mypredict_mdl: maxMetricDf:"
## threshold f.score accuracy
## 9 0.40 1 1
## 10 0.45 1 1
## 11 0.50 1 1
## 12 0.55 1 1
## Prediction
## Reference D R
## D 2360 0
## R 0 2093
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 1.0000000 1.0000000 0.9991719 1.0000000 0.5299798
## AccuracyPValue McnemarPValue
## 0.0000000 NaN
## Prediction
## Reference D R
## D 494 97
## R 379 145
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 5.730942e-01 1.161316e-01 5.434518e-01 6.023498e-01 5.300448e-01
## AccuracyPValue McnemarPValue
## 2.144973e-03 5.862813e-38
## [1] "myfit_mdl: predict complete: 20.908000 secs"
## id
## 1 Ensemble.auto.2##adaptive_cv#glmnet
## feats
## 1 Party.fctr.RFE.X.Inc..rcv.bagEarth.prob,.rnorm,Party.fctr.All.X.ica.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.rf.prob,Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob,Party.fctr.RFE.X..rcv.nnet.prob,Party.fctr.RFE.X..rcv.avNNet.prob,Party.fctr.All.X..rcv.glm.prob,Party.fctr.All.X.expoTrans.rcv.glmnet.prob,Party.fctr.All.X.zv.pca.rcv.glmnet.prob,Party.fctr.All.X..rcv.glmnet.prob,Party.fctr.All.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.range.rcv.glmnet.prob,Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob,Party.fctr.All.X.nzv.rcv.glmnet.prob,Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 25 5.425 0.24
## max.AUCpROC.fit max.Sens.fit max.Spec.fit max.AUCROCR.fit
## 1 1 1 1 1
## opt.prob.threshold.fit max.f.score.fit max.Accuracy.fit
## 1 0.5 1 1
## max.AccuracyLower.fit max.AccuracyUpper.fit max.Kappa.fit
## 1 0.9991719 1 1
## max.AUCpROC.OOB max.Sens.OOB max.Spec.OOB max.AUCROCR.OOB
## 1 0.5501802 0.5583756 0.5419847 0.5594251
## opt.prob.threshold.OOB max.f.score.OOB max.Accuracy.OOB
## 1 0.7 0.3785901 0.5730942
## max.AccuracyLower.OOB max.AccuracyUpper.OOB max.Kappa.OOB
## 1 0.5434518 0.6023498 0.1161316
## max.AccuracySD.fit max.KappaSD.fit max..B.fit
## 1 0 0 21
## [1] "myfit_mdl: exit: 21.051000 secs"
## glmnet
##
## 4453 samples
## 3 predictor
## 2 classes: 'D', 'R'
##
## No pre-processing
## Resampling: Cross-Validated (3 fold, repeated 3 times)
## Summary of sample sizes: 2969, 2969, 2968, 2968, 2970, 2968, ...
## Resampling results across tuning parameters:
##
## alpha lambda Accuracy Kappa
## 0.100 0.000941307 0.6840360 0.3653855
## 0.100 0.004369160 0.6842605 0.3657754
## 0.100 0.020279845 0.6833626 0.3637280
## 0.100 0.094130700 0.6812671 0.3579972
## 0.325 0.000941307 0.6841109 0.3655303
## 0.325 0.004369160 0.6841108 0.3654491
## 0.325 0.020279845 0.6832872 0.3635281
## 0.325 0.094130700 0.6815661 0.3584944
## 0.550 0.000941307 0.6841856 0.3657095
## 0.550 0.004369160 0.6843356 0.3659057
## 0.550 0.020279845 0.6833621 0.3636502
## 0.550 0.094130700 0.6811916 0.3573628
## 0.775 0.000941307 0.6846348 0.3665767
## 0.775 0.004369160 0.6837370 0.3647487
## 0.775 0.020279845 0.6832872 0.3634945
## 0.775 0.094130700 0.6802932 0.3550880
## 1.000 0.000941307 0.6845601 0.3664431
## 1.000 0.004369160 0.6842608 0.3658074
## 1.000 0.020279845 0.6833621 0.3636392
## 1.000 0.094130700 0.6815665 0.3570573
##
## Accuracy was used to select the optimal model using the largest value.
## The final values used for the model were alpha = 0.775 and lambda
## = 0.000941307.## [1] "Ensemble.auto.2##rcv#glmnet fit prediction diagnostics:"## [1] "Ensemble.auto.2##rcv#glmnet OOB prediction diagnostics:"## Ensemble.auto.2..rcv.glmnet.imp
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 100.000000
## Party.fctr.All.X.ica.rcv.glmnet.prob 9.724945
## .rnorm 0.000000
## imp
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 100.000000
## Party.fctr.All.X.ica.rcv.glmnet.prob 9.724945
## .rnorm 0.000000
## Loading required package: lazyeval
## [1] "Min/Max Boundaries: "
## USER_ID Party.fctr Party.fctr.RFE.X.Inc..rcv.bagEarth
## 1 3834 R D
## 2 3256 R R
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 1 0.3376589
## 2 0.6088904
## Party.fctr.RFE.X.Inc..rcv.bagEarth.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.RFE.X.Inc..rcv.bagEarth.err
## 1 TRUE
## 2 FALSE
## Party.fctr.RFE.X.Inc..rcv.bagEarth.err.abs
## 1 0.6623411
## 2 0.3911096
## Party.fctr.RFE.X..rcv.bagEarth Party.fctr.RFE.X..rcv.bagEarth.prob
## 1 D 0.3466015
## 2 R 0.6151912
## Party.fctr.RFE.X..rcv.bagEarth.is.acc Party.fctr.RFE.X..rcv.bagEarth.err
## 1 FALSE TRUE
## 2 TRUE FALSE
## Party.fctr.RFE.X..rcv.bagEarth.err.abs
## 1 0.6533985
## 2 0.3848088
## Party.fctr.RFE.X.zv.pca.rcv.glmnet
## 1 D
## 2 D
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.prob
## 1 0.3018035
## 2 0.4798474
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.err.abs
## 1 0.6981965
## 2 0.5201526
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet
## 1 D
## 2 D
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## 1 0.3736393
## 2 0.5627253
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.err.abs
## 1 0.6263607
## 2 0.4372747
## Party.fctr.All.X.spatialSign.rcv.glmnet
## 1 D
## 2 D
## Party.fctr.All.X.spatialSign.rcv.glmnet.prob
## 1 0.4165017
## 2 0.5866337
## Party.fctr.All.X.spatialSign.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## Party.fctr.All.X.spatialSign.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## Party.fctr.All.X.spatialSign.rcv.glmnet.err.abs
## 1 0.5834983
## 2 0.4133663
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet
## 1 D
## 2 D
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.prob
## 1 0.3746547
## 2 0.5653648
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.err.abs
## 1 0.6253453
## 2 0.4346352
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet
## 1 D
## 2 D
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.prob
## 1 0.4012486
## 2 0.5592673
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.err.abs
## 1 0.5987514
## 2 0.4407327
## Party.fctr.RFE.X.spatialSign.rcv.glmnet
## 1 D
## 2 D
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## 1 0.4157999
## 2 0.5884135
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.err.abs
## 1 0.5842001
## 2 0.4115865
## Party.fctr.All.X.nzv.rcv.glmnet Party.fctr.All.X.nzv.rcv.glmnet.prob
## 1 D 0.3638386
## 2 D 0.5812871
## Party.fctr.All.X.nzv.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## Party.fctr.All.X.nzv.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## Party.fctr.All.X.nzv.rcv.glmnet.err.abs Party.fctr.RFE.X.nzv.rcv.glmnet
## 1 0.6361614 D
## 2 0.4187129 R
## Party.fctr.RFE.X.nzv.rcv.glmnet.prob
## 1 0.3655426
## 2 0.5830362
## Party.fctr.RFE.X.nzv.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.RFE.X.nzv.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.RFE.X.nzv.rcv.glmnet.err.abs
## 1 0.6344574
## 2 0.4169638
## Party.fctr.All.X.expoTrans.rcv.glmnet
## 1 D
## 2 R
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## 1 0.4131383
## 2 0.5977025
## Party.fctr.All.X.expoTrans.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.All.X.expoTrans.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.All.X.expoTrans.rcv.glmnet.err.abs
## 1 0.5868617
## 2 0.4022975
## Party.fctr.RFE.X.expoTrans.rcv.glmnet
## 1 D
## 2 R
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.prob
## 1 0.4131383
## 2 0.5977025
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.err.abs
## 1 0.5868617
## 2 0.4022975
## Party.fctr.All.X.YeoJohnson.rcv.glmnet
## 1 D
## 2 R
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.prob
## 1 0.4133282
## 2 0.5976144
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.err.abs
## 1 0.5866718
## 2 0.4023856
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet
## 1 D
## 2 R
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## 1 0.4133282
## 2 0.5976144
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.err.abs
## 1 0.5866718
## 2 0.4023856
## Party.fctr.RFE.X..rcv.rpart Party.fctr.RFE.X..rcv.rpart.prob
## 1 D 0.4638143
## 2 R 0.6035857
## Party.fctr.RFE.X..rcv.rpart.is.acc Party.fctr.RFE.X..rcv.rpart.err
## 1 FALSE TRUE
## 2 TRUE FALSE
## Party.fctr.RFE.X..rcv.rpart.err.abs Party.fctr.RFE.X..rcv.glmnet
## 1 0.5361857 D
## 2 0.3964143 R
## Party.fctr.RFE.X..rcv.glmnet.prob Party.fctr.RFE.X..rcv.glmnet.is.acc
## 1 0.4122638 FALSE
## 2 0.5984909 TRUE
## Party.fctr.RFE.X..rcv.glmnet.err Party.fctr.RFE.X..rcv.glmnet.err.abs
## 1 TRUE 0.5877362
## 2 FALSE 0.4015091
## Party.fctr.All.X.conditionalX.rcv.glmnet
## 1 D
## 2 R
## Party.fctr.All.X.conditionalX.rcv.glmnet.prob
## 1 0.4122638
## 2 0.5984909
## Party.fctr.All.X.conditionalX.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.All.X.conditionalX.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.All.X.conditionalX.rcv.glmnet.err.abs
## 1 0.5877362
## 2 0.4015091
## Party.fctr.All.X..rcv.glmnet Party.fctr.All.X..rcv.glmnet.prob
## 1 D 0.4122638
## 2 R 0.5984909
## Party.fctr.All.X..rcv.glmnet.is.acc Party.fctr.All.X..rcv.glmnet.err
## 1 FALSE TRUE
## 2 TRUE FALSE
## Party.fctr.All.X..rcv.glmnet.err.abs Party.fctr.Low.cor.X..rcv.glmnet
## 1 0.5877362 D
## 2 0.4015091 R
## Party.fctr.Low.cor.X..rcv.glmnet.prob
## 1 0.4122638
## 2 0.5984909
## Party.fctr.Low.cor.X..rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.Low.cor.X..rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.Low.cor.X..rcv.glmnet.err.abs
## 1 0.5877362
## 2 0.4015091
## Party.fctr.RFE.X.conditionalX.rcv.glmnet
## 1 D
## 2 R
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.prob
## 1 0.4122638
## 2 0.5984909
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.err.abs
## 1 0.5877362
## 2 0.4015091
## Party.fctr.All.X.zv.rcv.glmnet Party.fctr.All.X.zv.rcv.glmnet.prob
## 1 D 0.4122638
## 2 R 0.5984909
## Party.fctr.All.X.zv.rcv.glmnet.is.acc Party.fctr.All.X.zv.rcv.glmnet.err
## 1 FALSE TRUE
## 2 TRUE FALSE
## Party.fctr.All.X.zv.rcv.glmnet.err.abs Party.fctr.RFE.X.zv.rcv.glmnet
## 1 0.5877362 D
## 2 0.4015091 R
## Party.fctr.RFE.X.zv.rcv.glmnet.prob
## 1 0.4122638
## 2 0.5984909
## Party.fctr.RFE.X.zv.rcv.glmnet.is.acc Party.fctr.RFE.X.zv.rcv.glmnet.err
## 1 FALSE TRUE
## 2 TRUE FALSE
## Party.fctr.RFE.X.zv.rcv.glmnet.err.abs Party.fctr.RFE.X.scale.rcv.glmnet
## 1 0.5877362 D
## 2 0.4015091 R
## Party.fctr.RFE.X.scale.rcv.glmnet.prob
## 1 0.4122638
## 2 0.5984909
## Party.fctr.RFE.X.scale.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.RFE.X.scale.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.RFE.X.scale.rcv.glmnet.err.abs
## 1 0.5877362
## 2 0.4015091
## Party.fctr.RFE.X.center.rcv.glmnet
## 1 D
## 2 R
## Party.fctr.RFE.X.center.rcv.glmnet.prob
## 1 0.4122638
## 2 0.5984909
## Party.fctr.RFE.X.center.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.RFE.X.center.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.RFE.X.center.rcv.glmnet.err.abs
## 1 0.5877362
## 2 0.4015091
## Party.fctr.All.X.scale.rcv.glmnet Party.fctr.All.X.scale.rcv.glmnet.prob
## 1 D 0.4122638
## 2 R 0.5984909
## Party.fctr.All.X.scale.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.All.X.scale.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.All.X.scale.rcv.glmnet.err.abs
## 1 0.5877362
## 2 0.4015091
## Party.fctr.All.X.center.rcv.glmnet
## 1 D
## 2 R
## Party.fctr.All.X.center.rcv.glmnet.prob
## 1 0.4122638
## 2 0.5984909
## Party.fctr.All.X.center.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.All.X.center.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.All.X.center.rcv.glmnet.err.abs
## 1 0.5877362
## 2 0.4015091
## Party.fctr.RFE.X.range.rcv.glmnet Party.fctr.RFE.X.range.rcv.glmnet.prob
## 1 D 0.4122638
## 2 R 0.5984909
## Party.fctr.RFE.X.range.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.RFE.X.range.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.RFE.X.range.rcv.glmnet.err.abs
## 1 0.5877362
## 2 0.4015091
## Party.fctr.RFE.X.BoxCox.rcv.glmnet
## 1 D
## 2 R
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.prob
## 1 0.4122638
## 2 0.5984909
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.err.abs
## 1 0.5877362
## 2 0.4015091
## Party.fctr.All.X.range.rcv.glmnet Party.fctr.All.X.range.rcv.glmnet.prob
## 1 D 0.4122638
## 2 R 0.5984909
## Party.fctr.All.X.range.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.All.X.range.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.All.X.range.rcv.glmnet.err.abs
## 1 0.5877362
## 2 0.4015091
## Party.fctr.All.X.BoxCox.rcv.glmnet
## 1 D
## 2 R
## Party.fctr.All.X.BoxCox.rcv.glmnet.prob
## 1 0.4122638
## 2 0.5984909
## Party.fctr.All.X.BoxCox.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.All.X.BoxCox.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.All.X.BoxCox.rcv.glmnet.err.abs
## 1 0.5877362
## 2 0.4015091
## Party.fctr.RFE.X.center.scale.rcv.glmnet
## 1 D
## 2 R
## Party.fctr.RFE.X.center.scale.rcv.glmnet.prob
## 1 0.4122638
## 2 0.5984909
## Party.fctr.RFE.X.center.scale.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.RFE.X.center.scale.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.RFE.X.center.scale.rcv.glmnet.err.abs
## 1 0.5877362
## 2 0.4015091
## Party.fctr.All.X.center.scale.rcv.glmnet
## 1 D
## 2 R
## Party.fctr.All.X.center.scale.rcv.glmnet.prob
## 1 0.4122638
## 2 0.5984909
## Party.fctr.All.X.center.scale.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.All.X.center.scale.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.All.X.center.scale.rcv.glmnet.err.abs
## 1 0.5877362
## 2 0.4015091
## Party.fctr.All.X.zv.pca.rcv.glmnet
## 1 D
## 2 R
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## 1 0.3323528
## 2 0.5111277
## Party.fctr.All.X.zv.pca.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.All.X.zv.pca.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.All.X.zv.pca.rcv.glmnet.err.abs Party.fctr.RFE.X..rcv.gbm
## 1 0.6676472 D
## 2 0.4888723 D
## Party.fctr.RFE.X..rcv.gbm.prob Party.fctr.RFE.X..rcv.gbm.is.acc
## 1 0.4018993 FALSE
## 2 0.5979299 FALSE
## Party.fctr.RFE.X..rcv.gbm.err Party.fctr.RFE.X..rcv.gbm.err.abs
## 1 TRUE 0.5981007
## 2 TRUE 0.4020701
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet
## 1 D
## 2 D
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.prob
## 1 0.4202423
## 2 0.4810540
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.err.abs
## 1 0.5797577
## 2 0.5189460
## Party.fctr.RFE.X..rcv.earth Party.fctr.RFE.X..rcv.earth.prob
## 1 D 0.3460693
## 2 R 0.6149909
## Party.fctr.RFE.X..rcv.earth.is.acc Party.fctr.RFE.X..rcv.earth.err
## 1 FALSE TRUE
## 2 TRUE FALSE
## Party.fctr.RFE.X..rcv.earth.err.abs Party.fctr.RFE.X..rcv.glm
## 1 0.6539307 D
## 2 0.3850091 D
## Party.fctr.RFE.X..rcv.glm.prob Party.fctr.RFE.X..rcv.glm.is.acc
## 1 0.3617507 FALSE
## 2 0.5755799 FALSE
## Party.fctr.RFE.X..rcv.glm.err Party.fctr.RFE.X..rcv.glm.err.abs
## 1 TRUE 0.6382493
## 2 TRUE 0.4244201
## Party.fctr.All.X..rcv.glm Party.fctr.All.X..rcv.glm.prob
## 1 D 0.3530866
## 2 D 0.5641632
## Party.fctr.All.X..rcv.glm.is.acc Party.fctr.All.X..rcv.glm.err
## 1 FALSE TRUE
## 2 FALSE TRUE
## Party.fctr.All.X..rcv.glm.err.abs Party.fctr.RFE.X..rcv.rf
## 1 0.6469134 D
## 2 0.4358368 D
## Party.fctr.RFE.X..rcv.rf.prob Party.fctr.RFE.X..rcv.rf.is.acc
## 1 0.368 FALSE
## 2 0.554 FALSE
## Party.fctr.RFE.X..rcv.rf.err Party.fctr.RFE.X..rcv.rf.err.abs
## 1 TRUE 0.632
## 2 TRUE 0.446
## Party.fctr.RFE.X..rcv.avNNet Party.fctr.RFE.X..rcv.avNNet.prob
## 1 D 0.2062058
## 2 D 0.4227103
## Party.fctr.RFE.X..rcv.avNNet.is.acc Party.fctr.RFE.X..rcv.avNNet.err
## 1 FALSE TRUE
## 2 FALSE TRUE
## Party.fctr.RFE.X..rcv.avNNet.err.abs Party.fctr.RFE.X..rcv.nnet
## 1 0.7937942 D
## 2 0.5772897 D
## Party.fctr.RFE.X..rcv.nnet.prob Party.fctr.RFE.X..rcv.nnet.is.acc
## 1 0.1875107 FALSE
## 2 0.2139304 FALSE
## Party.fctr.RFE.X..rcv.nnet.err Party.fctr.RFE.X..rcv.nnet.err.abs
## 1 TRUE 0.8124893
## 2 TRUE 0.7860696
## Party.fctr.RFE.X.ica.rcv.glmnet Party.fctr.RFE.X.ica.rcv.glmnet.prob
## 1 D 0.3785691
## 2 D 0.4400083
## Party.fctr.RFE.X.ica.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## Party.fctr.RFE.X.ica.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## Party.fctr.RFE.X.ica.rcv.glmnet.err.abs Party.fctr.All.X.ica.rcv.glmnet
## 1 0.6214309 D
## 2 0.5599917 D
## Party.fctr.All.X.ica.rcv.glmnet.prob
## 1 0.3760502
## 2 0.4422982
## Party.fctr.All.X.ica.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## Party.fctr.All.X.ica.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## Party.fctr.All.X.ica.rcv.glmnet.err.abs
## 1 0.6239498
## 2 0.5577018
## Party.fctr.Interact.High.cor.Y..rcv.glmnet
## 1 D
## 2 D
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.prob
## 1 0.4240877
## 2 0.6347045
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.err.abs
## 1 0.5759123
## 2 0.3652955
## Party.fctr.Ensemble.auto.2..rcv.glmnet.prob
## 1 0.2971741
## 2 0.6419380
## Party.fctr.Ensemble.auto.2..rcv.glmnet
## 1 D
## 2 D
## Party.fctr.Ensemble.auto.2..rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## Party.fctr.Ensemble.auto.2..rcv.glmnet.err.abs
## 1 0.7028259
## 2 0.3580620
## Party.fctr.Ensemble.auto.2..rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## Party.fctr.Ensemble.auto.2..rcv.glmnet.accurate
## 1 FALSE
## 2 FALSE
## Party.fctr.Ensemble.auto.2..rcv.glmnet.error .label
## 1 -0.352825878 3834
## 2 -0.008062009 3256
## [1] "Inaccurate: "
## USER_ID Party.fctr Party.fctr.RFE.X.Inc..rcv.bagEarth
## 1 3895 R D
## 2 2749 R D
## 3 3212 R D
## 4 1236 R D
## 5 5499 R D
## 6 4506 R D
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 1 0.03265932
## 2 0.04387413
## 3 0.05387724
## 4 0.04304825
## 5 0.06109203
## 6 0.05701378
## Party.fctr.RFE.X.Inc..rcv.bagEarth.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.RFE.X.Inc..rcv.bagEarth.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.RFE.X.Inc..rcv.bagEarth.err.abs
## 1 0.9673407
## 2 0.9561259
## 3 0.9461228
## 4 0.9569518
## 5 0.9389080
## 6 0.9429862
## Party.fctr.RFE.X..rcv.bagEarth Party.fctr.RFE.X..rcv.bagEarth.prob
## 1 D 0.03131226
## 2 D 0.04518027
## 3 D 0.08764815
## 4 D 0.03756575
## 5 D 0.06827835
## 6 D 0.06197281
## Party.fctr.RFE.X..rcv.bagEarth.is.acc Party.fctr.RFE.X..rcv.bagEarth.err
## 1 FALSE TRUE
## 2 FALSE TRUE
## 3 FALSE TRUE
## 4 FALSE TRUE
## 5 FALSE TRUE
## 6 FALSE TRUE
## Party.fctr.RFE.X..rcv.bagEarth.err.abs
## 1 0.9686877
## 2 0.9548197
## 3 0.9123518
## 4 0.9624342
## 5 0.9317216
## 6 0.9380272
## Party.fctr.RFE.X.zv.pca.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.prob
## 1 0.0655629
## 2 0.1378931
## 3 0.1554305
## 4 0.1441549
## 5 0.1229141
## 6 0.1167286
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.err.abs
## 1 0.9344371
## 2 0.8621069
## 3 0.8445695
## 4 0.8558451
## 5 0.8770859
## 6 0.8832714
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## 1 0.1172416
## 2 0.1646924
## 3 0.1692520
## 4 0.1222990
## 5 0.1390787
## 6 0.1180787
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.err.abs
## 1 0.8827584
## 2 0.8353076
## 3 0.8307480
## 4 0.8777010
## 5 0.8609213
## 6 0.8819213
## Party.fctr.All.X.spatialSign.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.All.X.spatialSign.rcv.glmnet.prob
## 1 0.07604966
## 2 0.10793623
## 3 0.15114829
## 4 0.08077740
## 5 0.11924094
## 6 0.12222979
## Party.fctr.All.X.spatialSign.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.All.X.spatialSign.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.All.X.spatialSign.rcv.glmnet.err.abs
## 1 0.9239503
## 2 0.8920638
## 3 0.8488517
## 4 0.9192226
## 5 0.8807591
## 6 0.8777702
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.prob
## 1 0.1074752
## 2 0.1658227
## 3 0.1685835
## 4 0.1231948
## 5 0.1402179
## 6 0.1190112
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.err.abs
## 1 0.8925248
## 2 0.8341773
## 3 0.8314165
## 4 0.8768052
## 5 0.8597821
## 6 0.8809888
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.prob
## 1 0.09115331
## 2 0.09182390
## 3 0.10178459
## 4 0.09376318
## 5 0.09963366
## 6 0.08020393
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.err.abs
## 1 0.9088467
## 2 0.9081761
## 3 0.8982154
## 4 0.9062368
## 5 0.9003663
## 6 0.9197961
## Party.fctr.RFE.X.spatialSign.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## 1 0.07198825
## 2 0.10855452
## 3 0.15047631
## 4 0.08095251
## 5 0.11982093
## 6 0.12233751
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.err.abs
## 1 0.9280118
## 2 0.8914455
## 3 0.8495237
## 4 0.9190475
## 5 0.8801791
## 6 0.8776625
## Party.fctr.All.X.nzv.rcv.glmnet Party.fctr.All.X.nzv.rcv.glmnet.prob
## 1 D 0.1183036
## 2 D 0.1380514
## 3 D 0.1554942
## 4 D 0.1327806
## 5 D 0.1240270
## 6 D 0.1090369
## Party.fctr.All.X.nzv.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.All.X.nzv.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.All.X.nzv.rcv.glmnet.err.abs Party.fctr.RFE.X.nzv.rcv.glmnet
## 1 0.8816964 D
## 2 0.8619486 D
## 3 0.8445058 D
## 4 0.8672194 D
## 5 0.8759730 D
## 6 0.8909631 D
## Party.fctr.RFE.X.nzv.rcv.glmnet.prob
## 1 0.1150356
## 2 0.1384146
## 3 0.1552284
## 4 0.1333908
## 5 0.1249767
## 6 0.1096957
## Party.fctr.RFE.X.nzv.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.RFE.X.nzv.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.RFE.X.nzv.rcv.glmnet.err.abs
## 1 0.8849644
## 2 0.8615854
## 3 0.8447716
## 4 0.8666092
## 5 0.8750233
## 6 0.8903043
## Party.fctr.All.X.expoTrans.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## 1 0.06917972
## 2 0.07989952
## 3 0.13940931
## 4 0.08352619
## 5 0.11176987
## 6 0.11492926
## Party.fctr.All.X.expoTrans.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.All.X.expoTrans.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.All.X.expoTrans.rcv.glmnet.err.abs
## 1 0.9308203
## 2 0.9201005
## 3 0.8605907
## 4 0.9164738
## 5 0.8882301
## 6 0.8850707
## Party.fctr.RFE.X.expoTrans.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.prob
## 1 0.06917972
## 2 0.07989952
## 3 0.13940931
## 4 0.08352619
## 5 0.11176987
## 6 0.11492926
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.err.abs
## 1 0.9308203
## 2 0.9201005
## 3 0.8605907
## 4 0.9164738
## 5 0.8882301
## 6 0.8850707
## Party.fctr.All.X.YeoJohnson.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.prob
## 1 0.06922470
## 2 0.07993341
## 3 0.13945360
## 4 0.08355202
## 5 0.11181809
## 6 0.11498550
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.err.abs
## 1 0.9307753
## 2 0.9200666
## 3 0.8605464
## 4 0.9164480
## 5 0.8881819
## 6 0.8850145
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## 1 0.06922470
## 2 0.07993341
## 3 0.13945360
## 4 0.08355202
## 5 0.11181809
## 6 0.11498550
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.err.abs
## 1 0.9307753
## 2 0.9200666
## 3 0.8605464
## 4 0.9164480
## 5 0.8881819
## 6 0.8850145
## Party.fctr.RFE.X..rcv.rpart Party.fctr.RFE.X..rcv.rpart.prob
## 1 D 0.1327078
## 2 D 0.1327078
## 3 D 0.1327078
## 4 D 0.1327078
## 5 D 0.1327078
## 6 D 0.1327078
## Party.fctr.RFE.X..rcv.rpart.is.acc Party.fctr.RFE.X..rcv.rpart.err
## 1 FALSE TRUE
## 2 FALSE TRUE
## 3 FALSE TRUE
## 4 FALSE TRUE
## 5 FALSE TRUE
## 6 FALSE TRUE
## Party.fctr.RFE.X..rcv.rpart.err.abs Party.fctr.RFE.X..rcv.glmnet
## 1 0.8672922 D
## 2 0.8672922 D
## 3 0.8672922 D
## 4 0.8672922 D
## 5 0.8672922 D
## 6 0.8672922 D
## Party.fctr.RFE.X..rcv.glmnet.prob Party.fctr.RFE.X..rcv.glmnet.is.acc
## 1 0.06723964 FALSE
## 2 0.08013563 FALSE
## 3 0.13987552 FALSE
## 4 0.08397483 FALSE
## 5 0.11128011 FALSE
## 6 0.11489050 FALSE
## Party.fctr.RFE.X..rcv.glmnet.err Party.fctr.RFE.X..rcv.glmnet.err.abs
## 1 TRUE 0.9327604
## 2 TRUE 0.9198644
## 3 TRUE 0.8601245
## 4 TRUE 0.9160252
## 5 TRUE 0.8887199
## 6 TRUE 0.8851095
## Party.fctr.All.X.conditionalX.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.All.X.conditionalX.rcv.glmnet.prob
## 1 0.06723964
## 2 0.08013563
## 3 0.13987552
## 4 0.08397483
## 5 0.11128011
## 6 0.11489050
## Party.fctr.All.X.conditionalX.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.All.X.conditionalX.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.All.X.conditionalX.rcv.glmnet.err.abs
## 1 0.9327604
## 2 0.9198644
## 3 0.8601245
## 4 0.9160252
## 5 0.8887199
## 6 0.8851095
## Party.fctr.All.X..rcv.glmnet Party.fctr.All.X..rcv.glmnet.prob
## 1 D 0.06723964
## 2 D 0.08013563
## 3 D 0.13987552
## 4 D 0.08397483
## 5 D 0.11128011
## 6 D 0.11489050
## Party.fctr.All.X..rcv.glmnet.is.acc Party.fctr.All.X..rcv.glmnet.err
## 1 FALSE TRUE
## 2 FALSE TRUE
## 3 FALSE TRUE
## 4 FALSE TRUE
## 5 FALSE TRUE
## 6 FALSE TRUE
## Party.fctr.All.X..rcv.glmnet.err.abs Party.fctr.Low.cor.X..rcv.glmnet
## 1 0.9327604 D
## 2 0.9198644 D
## 3 0.8601245 D
## 4 0.9160252 D
## 5 0.8887199 D
## 6 0.8851095 D
## Party.fctr.Low.cor.X..rcv.glmnet.prob
## 1 0.06723964
## 2 0.08013563
## 3 0.13987552
## 4 0.08397483
## 5 0.11128011
## 6 0.11489050
## Party.fctr.Low.cor.X..rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.Low.cor.X..rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.Low.cor.X..rcv.glmnet.err.abs
## 1 0.9327604
## 2 0.9198644
## 3 0.8601245
## 4 0.9160252
## 5 0.8887199
## 6 0.8851095
## Party.fctr.RFE.X.conditionalX.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.prob
## 1 0.06723964
## 2 0.08013563
## 3 0.13987552
## 4 0.08397483
## 5 0.11128011
## 6 0.11489050
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.err.abs
## 1 0.9327604
## 2 0.9198644
## 3 0.8601245
## 4 0.9160252
## 5 0.8887199
## 6 0.8851095
## Party.fctr.All.X.zv.rcv.glmnet Party.fctr.All.X.zv.rcv.glmnet.prob
## 1 D 0.06723964
## 2 D 0.08013563
## 3 D 0.13987552
## 4 D 0.08397483
## 5 D 0.11128011
## 6 D 0.11489050
## Party.fctr.All.X.zv.rcv.glmnet.is.acc Party.fctr.All.X.zv.rcv.glmnet.err
## 1 FALSE TRUE
## 2 FALSE TRUE
## 3 FALSE TRUE
## 4 FALSE TRUE
## 5 FALSE TRUE
## 6 FALSE TRUE
## Party.fctr.All.X.zv.rcv.glmnet.err.abs Party.fctr.RFE.X.zv.rcv.glmnet
## 1 0.9327604 D
## 2 0.9198644 D
## 3 0.8601245 D
## 4 0.9160252 D
## 5 0.8887199 D
## 6 0.8851095 D
## Party.fctr.RFE.X.zv.rcv.glmnet.prob
## 1 0.06723964
## 2 0.08013563
## 3 0.13987552
## 4 0.08397483
## 5 0.11128011
## 6 0.11489050
## Party.fctr.RFE.X.zv.rcv.glmnet.is.acc Party.fctr.RFE.X.zv.rcv.glmnet.err
## 1 FALSE TRUE
## 2 FALSE TRUE
## 3 FALSE TRUE
## 4 FALSE TRUE
## 5 FALSE TRUE
## 6 FALSE TRUE
## Party.fctr.RFE.X.zv.rcv.glmnet.err.abs Party.fctr.RFE.X.scale.rcv.glmnet
## 1 0.9327604 D
## 2 0.9198644 D
## 3 0.8601245 D
## 4 0.9160252 D
## 5 0.8887199 D
## 6 0.8851095 D
## Party.fctr.RFE.X.scale.rcv.glmnet.prob
## 1 0.06723964
## 2 0.08013563
## 3 0.13987552
## 4 0.08397483
## 5 0.11128011
## 6 0.11489050
## Party.fctr.RFE.X.scale.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.RFE.X.scale.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.RFE.X.scale.rcv.glmnet.err.abs
## 1 0.9327604
## 2 0.9198644
## 3 0.8601245
## 4 0.9160252
## 5 0.8887199
## 6 0.8851095
## Party.fctr.RFE.X.center.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.RFE.X.center.rcv.glmnet.prob
## 1 0.06723964
## 2 0.08013563
## 3 0.13987552
## 4 0.08397483
## 5 0.11128011
## 6 0.11489050
## Party.fctr.RFE.X.center.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.RFE.X.center.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.RFE.X.center.rcv.glmnet.err.abs
## 1 0.9327604
## 2 0.9198644
## 3 0.8601245
## 4 0.9160252
## 5 0.8887199
## 6 0.8851095
## Party.fctr.All.X.scale.rcv.glmnet Party.fctr.All.X.scale.rcv.glmnet.prob
## 1 D 0.06723964
## 2 D 0.08013563
## 3 D 0.13987552
## 4 D 0.08397483
## 5 D 0.11128011
## 6 D 0.11489050
## Party.fctr.All.X.scale.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.All.X.scale.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.All.X.scale.rcv.glmnet.err.abs
## 1 0.9327604
## 2 0.9198644
## 3 0.8601245
## 4 0.9160252
## 5 0.8887199
## 6 0.8851095
## Party.fctr.All.X.center.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.All.X.center.rcv.glmnet.prob
## 1 0.06723964
## 2 0.08013563
## 3 0.13987552
## 4 0.08397483
## 5 0.11128011
## 6 0.11489050
## Party.fctr.All.X.center.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.All.X.center.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.All.X.center.rcv.glmnet.err.abs
## 1 0.9327604
## 2 0.9198644
## 3 0.8601245
## 4 0.9160252
## 5 0.8887199
## 6 0.8851095
## Party.fctr.RFE.X.range.rcv.glmnet Party.fctr.RFE.X.range.rcv.glmnet.prob
## 1 D 0.06723964
## 2 D 0.08013563
## 3 D 0.13987552
## 4 D 0.08397483
## 5 D 0.11128011
## 6 D 0.11489050
## Party.fctr.RFE.X.range.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.RFE.X.range.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.RFE.X.range.rcv.glmnet.err.abs
## 1 0.9327604
## 2 0.9198644
## 3 0.8601245
## 4 0.9160252
## 5 0.8887199
## 6 0.8851095
## Party.fctr.RFE.X.BoxCox.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.prob
## 1 0.06723964
## 2 0.08013563
## 3 0.13987552
## 4 0.08397483
## 5 0.11128011
## 6 0.11489050
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.err.abs
## 1 0.9327604
## 2 0.9198644
## 3 0.8601245
## 4 0.9160252
## 5 0.8887199
## 6 0.8851095
## Party.fctr.All.X.range.rcv.glmnet Party.fctr.All.X.range.rcv.glmnet.prob
## 1 D 0.06723964
## 2 D 0.08013563
## 3 D 0.13987552
## 4 D 0.08397483
## 5 D 0.11128011
## 6 D 0.11489050
## Party.fctr.All.X.range.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.All.X.range.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.All.X.range.rcv.glmnet.err.abs
## 1 0.9327604
## 2 0.9198644
## 3 0.8601245
## 4 0.9160252
## 5 0.8887199
## 6 0.8851095
## Party.fctr.All.X.BoxCox.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.All.X.BoxCox.rcv.glmnet.prob
## 1 0.06723964
## 2 0.08013563
## 3 0.13987552
## 4 0.08397483
## 5 0.11128011
## 6 0.11489050
## Party.fctr.All.X.BoxCox.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.All.X.BoxCox.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.All.X.BoxCox.rcv.glmnet.err.abs
## 1 0.9327604
## 2 0.9198644
## 3 0.8601245
## 4 0.9160252
## 5 0.8887199
## 6 0.8851095
## Party.fctr.RFE.X.center.scale.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.RFE.X.center.scale.rcv.glmnet.prob
## 1 0.06723964
## 2 0.08013563
## 3 0.13987552
## 4 0.08397483
## 5 0.11128011
## 6 0.11489050
## Party.fctr.RFE.X.center.scale.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.RFE.X.center.scale.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.RFE.X.center.scale.rcv.glmnet.err.abs
## 1 0.9327604
## 2 0.9198644
## 3 0.8601245
## 4 0.9160252
## 5 0.8887199
## 6 0.8851095
## Party.fctr.All.X.center.scale.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.All.X.center.scale.rcv.glmnet.prob
## 1 0.06723964
## 2 0.08013563
## 3 0.13987552
## 4 0.08397483
## 5 0.11128011
## 6 0.11489050
## Party.fctr.All.X.center.scale.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.All.X.center.scale.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.All.X.center.scale.rcv.glmnet.err.abs
## 1 0.9327604
## 2 0.9198644
## 3 0.8601245
## 4 0.9160252
## 5 0.8887199
## 6 0.8851095
## Party.fctr.All.X.zv.pca.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## 1 0.08264309
## 2 0.12947154
## 3 0.15908798
## 4 0.12887750
## 5 0.14861125
## 6 0.13156723
## Party.fctr.All.X.zv.pca.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.All.X.zv.pca.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.All.X.zv.pca.rcv.glmnet.err.abs Party.fctr.RFE.X..rcv.gbm
## 1 0.9173569 D
## 2 0.8705285 D
## 3 0.8409120 D
## 4 0.8711225 D
## 5 0.8513888 D
## 6 0.8684328 D
## Party.fctr.RFE.X..rcv.gbm.prob Party.fctr.RFE.X..rcv.gbm.is.acc
## 1 0.06666800 FALSE
## 2 0.08682857 FALSE
## 3 0.11393964 FALSE
## 4 0.08547744 FALSE
## 5 0.10084706 FALSE
## 6 0.10726729 FALSE
## Party.fctr.RFE.X..rcv.gbm.err Party.fctr.RFE.X..rcv.gbm.err.abs
## 1 TRUE 0.9333320
## 2 TRUE 0.9131714
## 3 TRUE 0.8860604
## 4 TRUE 0.9145226
## 5 TRUE 0.8991529
## 6 TRUE 0.8927327
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.prob
## 1 0.1575228
## 2 0.2139471
## 3 0.1543864
## 4 0.1654979
## 5 0.1819335
## 6 0.1487200
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.err.abs
## 1 0.8424772
## 2 0.7860529
## 3 0.8456136
## 4 0.8345021
## 5 0.8180665
## 6 0.8512800
## Party.fctr.RFE.X..rcv.earth Party.fctr.RFE.X..rcv.earth.prob
## 1 D 0.04619123
## 2 D 0.03582395
## 3 D 0.08181182
## 4 D 0.04754454
## 5 D 0.09495574
## 6 D 0.09127157
## Party.fctr.RFE.X..rcv.earth.is.acc Party.fctr.RFE.X..rcv.earth.err
## 1 FALSE TRUE
## 2 FALSE TRUE
## 3 FALSE TRUE
## 4 FALSE TRUE
## 5 FALSE TRUE
## 6 FALSE TRUE
## Party.fctr.RFE.X..rcv.earth.err.abs Party.fctr.RFE.X..rcv.glm
## 1 0.9538088 D
## 2 0.9641761 D
## 3 0.9181882 D
## 4 0.9524555 D
## 5 0.9050443 D
## 6 0.9087284 D
## Party.fctr.RFE.X..rcv.glm.prob Party.fctr.RFE.X..rcv.glm.is.acc
## 1 0.06644046 FALSE
## 2 0.04991006 FALSE
## 3 0.09540911 FALSE
## 4 0.01953030 FALSE
## 5 0.04983503 FALSE
## 6 0.06218681 FALSE
## Party.fctr.RFE.X..rcv.glm.err Party.fctr.RFE.X..rcv.glm.err.abs
## 1 TRUE 0.9335595
## 2 TRUE 0.9500899
## 3 TRUE 0.9045909
## 4 TRUE 0.9804697
## 5 TRUE 0.9501650
## 6 TRUE 0.9378132
## Party.fctr.All.X..rcv.glm Party.fctr.All.X..rcv.glm.prob
## 1 D 0.08520718
## 2 D 0.04882001
## 3 D 0.09593901
## 4 D 0.01900093
## 5 D 0.04767510
## 6 D 0.05945993
## Party.fctr.All.X..rcv.glm.is.acc Party.fctr.All.X..rcv.glm.err
## 1 FALSE TRUE
## 2 FALSE TRUE
## 3 FALSE TRUE
## 4 FALSE TRUE
## 5 FALSE TRUE
## 6 FALSE TRUE
## Party.fctr.All.X..rcv.glm.err.abs Party.fctr.RFE.X..rcv.rf
## 1 0.9147928 D
## 2 0.9511800 D
## 3 0.9040610 D
## 4 0.9809991 D
## 5 0.9523249 D
## 6 0.9405401 D
## Party.fctr.RFE.X..rcv.rf.prob Party.fctr.RFE.X..rcv.rf.is.acc
## 1 0.144 FALSE
## 2 0.162 FALSE
## 3 0.054 FALSE
## 4 0.130 FALSE
## 5 0.150 FALSE
## 6 0.122 FALSE
## Party.fctr.RFE.X..rcv.rf.err Party.fctr.RFE.X..rcv.rf.err.abs
## 1 TRUE 0.856
## 2 TRUE 0.838
## 3 TRUE 0.946
## 4 TRUE 0.870
## 5 TRUE 0.850
## 6 TRUE 0.878
## Party.fctr.RFE.X..rcv.avNNet Party.fctr.RFE.X..rcv.avNNet.prob
## 1 D 0.0839713
## 2 D 0.1699379
## 3 D 0.0844142
## 4 D 0.0839713
## 5 D 0.1370221
## 6 D 0.0839713
## Party.fctr.RFE.X..rcv.avNNet.is.acc Party.fctr.RFE.X..rcv.avNNet.err
## 1 FALSE TRUE
## 2 FALSE TRUE
## 3 FALSE TRUE
## 4 FALSE TRUE
## 5 FALSE TRUE
## 6 FALSE TRUE
## Party.fctr.RFE.X..rcv.avNNet.err.abs Party.fctr.RFE.X..rcv.nnet
## 1 0.9160287 D
## 2 0.8300621 D
## 3 0.9155858 D
## 4 0.9160287 D
## 5 0.8629779 D
## 6 0.9160287 D
## Party.fctr.RFE.X..rcv.nnet.prob Party.fctr.RFE.X..rcv.nnet.is.acc
## 1 0.1826738 FALSE
## 2 0.1828281 FALSE
## 3 0.1829701 FALSE
## 4 0.1826730 FALSE
## 5 0.1826785 FALSE
## 6 0.1826739 FALSE
## Party.fctr.RFE.X..rcv.nnet.err Party.fctr.RFE.X..rcv.nnet.err.abs
## 1 TRUE 0.8173262
## 2 TRUE 0.8171719
## 3 TRUE 0.8170299
## 4 TRUE 0.8173270
## 5 TRUE 0.8173215
## 6 TRUE 0.8173261
## Party.fctr.RFE.X.ica.rcv.glmnet Party.fctr.RFE.X.ica.rcv.glmnet.prob
## 1 D 0.4367883
## 2 D 0.5190807
## 3 D 0.4916762
## 4 D 0.3743749
## 5 D 0.4718801
## 6 D 0.4148080
## Party.fctr.RFE.X.ica.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.RFE.X.ica.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.RFE.X.ica.rcv.glmnet.err.abs Party.fctr.All.X.ica.rcv.glmnet
## 1 0.5632117 D
## 2 0.4809193 D
## 3 0.5083238 D
## 4 0.6256251 D
## 5 0.5281199 D
## 6 0.5851920 D
## Party.fctr.All.X.ica.rcv.glmnet.prob
## 1 0.4331468
## 2 0.5249060
## 3 0.4964380
## 4 0.3725389
## 5 0.4730504
## 6 0.4146711
## Party.fctr.All.X.ica.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.All.X.ica.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.All.X.ica.rcv.glmnet.err.abs
## 1 0.5668532
## 2 0.4750940
## 3 0.5035620
## 4 0.6274611
## 5 0.5269496
## 6 0.5853289
## Party.fctr.Interact.High.cor.Y..rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.prob
## 1 0.15979667
## 2 0.07791594
## 3 0.07094513
## 4 0.13715343
## 5 0.18800585
## 6 0.13952406
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.err.abs
## 1 0.8402033
## 2 0.9220841
## 3 0.9290549
## 4 0.8628466
## 5 0.8119942
## 6 0.8604759
## Party.fctr.Ensemble.auto.2..rcv.glmnet.prob
## 1 0.07208907
## 2 0.07292973
## 3 0.07778309
## 4 0.07826192
## 5 0.08157876
## 6 0.08223478
## Party.fctr.Ensemble.auto.2..rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.Ensemble.auto.2..rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.Ensemble.auto.2..rcv.glmnet.err.abs
## 1 0.9279109
## 2 0.9270703
## 3 0.9222169
## 4 0.9217381
## 5 0.9184212
## 6 0.9177652
## Party.fctr.Ensemble.auto.2..rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.Ensemble.auto.2..rcv.glmnet.accurate
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.Ensemble.auto.2..rcv.glmnet.error
## 1 -0.5779109
## 2 -0.5770703
## 3 -0.5722169
## 4 -0.5717381
## 5 -0.5684212
## 6 -0.5677652
## USER_ID Party.fctr Party.fctr.RFE.X.Inc..rcv.bagEarth
## 31 6245 R D
## 262 290 R D
## 267 5601 R D
## 288 5356 R D
## 327 392 R D
## 360 616 R D
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 31 0.1190122
## 262 0.5245367
## 267 0.5318466
## 288 0.5399520
## 327 0.5706573
## 360 0.5983588
## Party.fctr.RFE.X.Inc..rcv.bagEarth.is.acc
## 31 FALSE
## 262 FALSE
## 267 FALSE
## 288 FALSE
## 327 FALSE
## 360 FALSE
## Party.fctr.RFE.X.Inc..rcv.bagEarth.err
## 31 TRUE
## 262 TRUE
## 267 TRUE
## 288 TRUE
## 327 TRUE
## 360 TRUE
## Party.fctr.RFE.X.Inc..rcv.bagEarth.err.abs
## 31 0.8809878
## 262 0.4754633
## 267 0.4681534
## 288 0.4600480
## 327 0.4293427
## 360 0.4016412
## Party.fctr.RFE.X..rcv.bagEarth Party.fctr.RFE.X..rcv.bagEarth.prob
## 31 D 0.2214017
## 262 D 0.4978424
## 267 D 0.4975819
## 288 D 0.5306029
## 327 D 0.5732592
## 360 R 0.6439439
## Party.fctr.RFE.X..rcv.bagEarth.is.acc
## 31 FALSE
## 262 FALSE
## 267 FALSE
## 288 FALSE
## 327 FALSE
## 360 TRUE
## Party.fctr.RFE.X..rcv.bagEarth.err
## 31 TRUE
## 262 TRUE
## 267 TRUE
## 288 TRUE
## 327 TRUE
## 360 FALSE
## Party.fctr.RFE.X..rcv.bagEarth.err.abs
## 31 0.7785983
## 262 0.5021576
## 267 0.5024181
## 288 0.4693971
## 327 0.4267408
## 360 0.3560561
## Party.fctr.RFE.X.zv.pca.rcv.glmnet
## 31 D
## 262 R
## 267 R
## 288 R
## 327 R
## 360 R
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.prob
## 31 0.2819092
## 262 0.5620242
## 267 0.5336938
## 288 0.5859141
## 327 0.6205193
## 360 0.5782246
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.is.acc
## 31 FALSE
## 262 TRUE
## 267 TRUE
## 288 TRUE
## 327 TRUE
## 360 TRUE
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.err
## 31 TRUE
## 262 FALSE
## 267 FALSE
## 288 FALSE
## 327 FALSE
## 360 FALSE
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.err.abs
## 31 0.7180908
## 262 0.4379758
## 267 0.4663062
## 288 0.4140859
## 327 0.3794807
## 360 0.4217754
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet
## 31 D
## 262 D
## 267 D
## 288 D
## 327 D
## 360 R
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## 31 0.2327865
## 262 0.5347997
## 267 0.5570145
## 288 0.5505575
## 327 0.5369171
## 360 0.6280990
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 FALSE
## 288 FALSE
## 327 FALSE
## 360 TRUE
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 TRUE
## 288 TRUE
## 327 TRUE
## 360 FALSE
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.err.abs
## 31 0.7672135
## 262 0.4652003
## 267 0.4429855
## 288 0.4494425
## 327 0.4630829
## 360 0.3719010
## Party.fctr.All.X.spatialSign.rcv.glmnet
## 31 D
## 262 D
## 267 D
## 288 D
## 327 D
## 360 R
## Party.fctr.All.X.spatialSign.rcv.glmnet.prob
## 31 0.1729998
## 262 0.5448110
## 267 0.5605040
## 288 0.5149217
## 327 0.5423338
## 360 0.6195644
## Party.fctr.All.X.spatialSign.rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 FALSE
## 288 FALSE
## 327 FALSE
## 360 TRUE
## Party.fctr.All.X.spatialSign.rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 TRUE
## 288 TRUE
## 327 TRUE
## 360 FALSE
## Party.fctr.All.X.spatialSign.rcv.glmnet.err.abs
## 31 0.8270002
## 262 0.4551890
## 267 0.4394960
## 288 0.4850783
## 327 0.4576662
## 360 0.3804356
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet
## 31 D
## 262 D
## 267 D
## 288 D
## 327 D
## 360 R
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.prob
## 31 0.2330820
## 262 0.5379153
## 267 0.5592038
## 288 0.5498453
## 327 0.5378675
## 360 0.6278765
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 FALSE
## 288 FALSE
## 327 FALSE
## 360 TRUE
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 TRUE
## 288 TRUE
## 327 TRUE
## 360 FALSE
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.err.abs
## 31 0.7669180
## 262 0.4620847
## 267 0.4407962
## 288 0.4501547
## 327 0.4621325
## 360 0.3721235
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet
## 31 D
## 262 D
## 267 D
## 288 D
## 327 D
## 360 R
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.prob
## 31 0.2121948
## 262 0.5343603
## 267 0.5593713
## 288 0.5493420
## 327 0.5508719
## 360 0.6233790
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 FALSE
## 288 FALSE
## 327 FALSE
## 360 TRUE
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 TRUE
## 288 TRUE
## 327 TRUE
## 360 FALSE
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.err.abs
## 31 0.7878052
## 262 0.4656397
## 267 0.4406287
## 288 0.4506580
## 327 0.4491281
## 360 0.3766210
## Party.fctr.RFE.X.spatialSign.rcv.glmnet
## 31 D
## 262 D
## 267 D
## 288 D
## 327 D
## 360 R
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## 31 0.1734391
## 262 0.5452467
## 267 0.5601738
## 288 0.5152925
## 327 0.5418288
## 360 0.6187148
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 FALSE
## 288 FALSE
## 327 FALSE
## 360 TRUE
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 TRUE
## 288 TRUE
## 327 TRUE
## 360 FALSE
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.err.abs
## 31 0.8265609
## 262 0.4547533
## 267 0.4398262
## 288 0.4847075
## 327 0.4581712
## 360 0.3812852
## Party.fctr.All.X.nzv.rcv.glmnet Party.fctr.All.X.nzv.rcv.glmnet.prob
## 31 D 0.2738594
## 262 D 0.5097906
## 267 D 0.5501511
## 288 D 0.5242825
## 327 D 0.5532106
## 360 R 0.6333499
## Party.fctr.All.X.nzv.rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 FALSE
## 288 FALSE
## 327 FALSE
## 360 TRUE
## Party.fctr.All.X.nzv.rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 TRUE
## 288 TRUE
## 327 TRUE
## 360 FALSE
## Party.fctr.All.X.nzv.rcv.glmnet.err.abs
## 31 0.7261406
## 262 0.4902094
## 267 0.4498489
## 288 0.4757175
## 327 0.4467894
## 360 0.3666501
## Party.fctr.RFE.X.nzv.rcv.glmnet Party.fctr.RFE.X.nzv.rcv.glmnet.prob
## 31 D 0.2734827
## 262 D 0.5135520
## 267 R 0.5534085
## 288 D 0.5228244
## 327 R 0.5545500
## 360 R 0.6335491
## Party.fctr.RFE.X.nzv.rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 TRUE
## 288 FALSE
## 327 TRUE
## 360 TRUE
## Party.fctr.RFE.X.nzv.rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 FALSE
## 288 TRUE
## 327 FALSE
## 360 FALSE
## Party.fctr.RFE.X.nzv.rcv.glmnet.err.abs
## 31 0.7265173
## 262 0.4864480
## 267 0.4465915
## 288 0.4771756
## 327 0.4454500
## 360 0.3664509
## Party.fctr.All.X.expoTrans.rcv.glmnet
## 31 D
## 262 D
## 267 R
## 288 D
## 327 R
## 360 R
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## 31 0.2109563
## 262 0.3355963
## 267 0.5505559
## 288 0.4980658
## 327 0.5504247
## 360 0.6212610
## Party.fctr.All.X.expoTrans.rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 TRUE
## 288 FALSE
## 327 TRUE
## 360 TRUE
## Party.fctr.All.X.expoTrans.rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 FALSE
## 288 TRUE
## 327 FALSE
## 360 FALSE
## Party.fctr.All.X.expoTrans.rcv.glmnet.err.abs
## 31 0.7890437
## 262 0.6644037
## 267 0.4494441
## 288 0.5019342
## 327 0.4495753
## 360 0.3787390
## Party.fctr.RFE.X.expoTrans.rcv.glmnet
## 31 D
## 262 D
## 267 R
## 288 D
## 327 R
## 360 R
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.prob
## 31 0.2109563
## 262 0.3355963
## 267 0.5505559
## 288 0.4980658
## 327 0.5504247
## 360 0.6212610
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 TRUE
## 288 FALSE
## 327 TRUE
## 360 TRUE
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 FALSE
## 288 TRUE
## 327 FALSE
## 360 FALSE
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.err.abs
## 31 0.7890437
## 262 0.6644037
## 267 0.4494441
## 288 0.5019342
## 327 0.4495753
## 360 0.3787390
## Party.fctr.All.X.YeoJohnson.rcv.glmnet
## 31 D
## 262 D
## 267 R
## 288 D
## 327 R
## 360 R
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.prob
## 31 0.21111166
## 262 0.06306437
## 267 0.55066566
## 288 0.49821141
## 327 0.55050386
## 360 0.62134209
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 TRUE
## 288 FALSE
## 327 TRUE
## 360 TRUE
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 FALSE
## 288 TRUE
## 327 FALSE
## 360 FALSE
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.err.abs
## 31 0.7888883
## 262 0.9369356
## 267 0.4493343
## 288 0.5017886
## 327 0.4494961
## 360 0.3786579
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet
## 31 D
## 262 D
## 267 R
## 288 D
## 327 R
## 360 R
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## 31 0.21111166
## 262 0.06306437
## 267 0.55066566
## 288 0.49821141
## 327 0.55050386
## 360 0.62134209
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 TRUE
## 288 FALSE
## 327 TRUE
## 360 TRUE
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 FALSE
## 288 TRUE
## 327 FALSE
## 360 FALSE
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.err.abs
## 31 0.7888883
## 262 0.9369356
## 267 0.4493343
## 288 0.5017886
## 327 0.4494961
## 360 0.3786579
## Party.fctr.RFE.X..rcv.rpart Party.fctr.RFE.X..rcv.rpart.prob
## 31 D 0.1327078
## 262 R 0.6666667
## 267 D 0.4638143
## 288 D 0.4638143
## 327 D 0.4638143
## 360 R 0.6035857
## Party.fctr.RFE.X..rcv.rpart.is.acc Party.fctr.RFE.X..rcv.rpart.err
## 31 FALSE TRUE
## 262 TRUE FALSE
## 267 FALSE TRUE
## 288 FALSE TRUE
## 327 FALSE TRUE
## 360 TRUE FALSE
## Party.fctr.RFE.X..rcv.rpart.err.abs Party.fctr.RFE.X..rcv.glmnet
## 31 0.8672922 D
## 262 0.3333333 D
## 267 0.5361857 R
## 288 0.5361857 D
## 327 0.5361857 R
## 360 0.3964143 R
## Party.fctr.RFE.X..rcv.glmnet.prob Party.fctr.RFE.X..rcv.glmnet.is.acc
## 31 0.2102179 FALSE
## 262 0.5255076 FALSE
## 267 0.5504214 TRUE
## 288 0.4976244 FALSE
## 327 0.5513170 TRUE
## 360 0.6224110 TRUE
## Party.fctr.RFE.X..rcv.glmnet.err Party.fctr.RFE.X..rcv.glmnet.err.abs
## 31 TRUE 0.7897821
## 262 TRUE 0.4744924
## 267 FALSE 0.4495786
## 288 TRUE 0.5023756
## 327 FALSE 0.4486830
## 360 FALSE 0.3775890
## Party.fctr.All.X.conditionalX.rcv.glmnet
## 31 D
## 262 D
## 267 R
## 288 D
## 327 R
## 360 R
## Party.fctr.All.X.conditionalX.rcv.glmnet.prob
## 31 0.2102179
## 262 0.5255076
## 267 0.5504214
## 288 0.4976244
## 327 0.5513170
## 360 0.6224110
## Party.fctr.All.X.conditionalX.rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 TRUE
## 288 FALSE
## 327 TRUE
## 360 TRUE
## Party.fctr.All.X.conditionalX.rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 FALSE
## 288 TRUE
## 327 FALSE
## 360 FALSE
## Party.fctr.All.X.conditionalX.rcv.glmnet.err.abs
## 31 0.7897821
## 262 0.4744924
## 267 0.4495786
## 288 0.5023756
## 327 0.4486830
## 360 0.3775890
## Party.fctr.All.X..rcv.glmnet Party.fctr.All.X..rcv.glmnet.prob
## 31 D 0.2102179
## 262 D 0.5255076
## 267 R 0.5504214
## 288 D 0.4976244
## 327 R 0.5513170
## 360 R 0.6224110
## Party.fctr.All.X..rcv.glmnet.is.acc Party.fctr.All.X..rcv.glmnet.err
## 31 FALSE TRUE
## 262 FALSE TRUE
## 267 TRUE FALSE
## 288 FALSE TRUE
## 327 TRUE FALSE
## 360 TRUE FALSE
## Party.fctr.All.X..rcv.glmnet.err.abs Party.fctr.Low.cor.X..rcv.glmnet
## 31 0.7897821 D
## 262 0.4744924 D
## 267 0.4495786 R
## 288 0.5023756 D
## 327 0.4486830 R
## 360 0.3775890 R
## Party.fctr.Low.cor.X..rcv.glmnet.prob
## 31 0.2102179
## 262 0.5255076
## 267 0.5504214
## 288 0.4976244
## 327 0.5513170
## 360 0.6224110
## Party.fctr.Low.cor.X..rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 TRUE
## 288 FALSE
## 327 TRUE
## 360 TRUE
## Party.fctr.Low.cor.X..rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 FALSE
## 288 TRUE
## 327 FALSE
## 360 FALSE
## Party.fctr.Low.cor.X..rcv.glmnet.err.abs
## 31 0.7897821
## 262 0.4744924
## 267 0.4495786
## 288 0.5023756
## 327 0.4486830
## 360 0.3775890
## Party.fctr.RFE.X.conditionalX.rcv.glmnet
## 31 D
## 262 D
## 267 R
## 288 D
## 327 R
## 360 R
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.prob
## 31 0.2102179
## 262 0.5255076
## 267 0.5504214
## 288 0.4976244
## 327 0.5513170
## 360 0.6224110
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 TRUE
## 288 FALSE
## 327 TRUE
## 360 TRUE
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 FALSE
## 288 TRUE
## 327 FALSE
## 360 FALSE
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.err.abs
## 31 0.7897821
## 262 0.4744924
## 267 0.4495786
## 288 0.5023756
## 327 0.4486830
## 360 0.3775890
## Party.fctr.All.X.zv.rcv.glmnet Party.fctr.All.X.zv.rcv.glmnet.prob
## 31 D 0.2102179
## 262 D 0.5255076
## 267 R 0.5504214
## 288 D 0.4976244
## 327 R 0.5513170
## 360 R 0.6224110
## Party.fctr.All.X.zv.rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 TRUE
## 288 FALSE
## 327 TRUE
## 360 TRUE
## Party.fctr.All.X.zv.rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 FALSE
## 288 TRUE
## 327 FALSE
## 360 FALSE
## Party.fctr.All.X.zv.rcv.glmnet.err.abs Party.fctr.RFE.X.zv.rcv.glmnet
## 31 0.7897821 D
## 262 0.4744924 D
## 267 0.4495786 R
## 288 0.5023756 D
## 327 0.4486830 R
## 360 0.3775890 R
## Party.fctr.RFE.X.zv.rcv.glmnet.prob
## 31 0.2102179
## 262 0.5255076
## 267 0.5504214
## 288 0.4976244
## 327 0.5513170
## 360 0.6224110
## Party.fctr.RFE.X.zv.rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 TRUE
## 288 FALSE
## 327 TRUE
## 360 TRUE
## Party.fctr.RFE.X.zv.rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 FALSE
## 288 TRUE
## 327 FALSE
## 360 FALSE
## Party.fctr.RFE.X.zv.rcv.glmnet.err.abs
## 31 0.7897821
## 262 0.4744924
## 267 0.4495786
## 288 0.5023756
## 327 0.4486830
## 360 0.3775890
## Party.fctr.RFE.X.scale.rcv.glmnet
## 31 D
## 262 D
## 267 R
## 288 D
## 327 R
## 360 R
## Party.fctr.RFE.X.scale.rcv.glmnet.prob
## 31 0.2102179
## 262 0.5255076
## 267 0.5504214
## 288 0.4976244
## 327 0.5513170
## 360 0.6224110
## Party.fctr.RFE.X.scale.rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 TRUE
## 288 FALSE
## 327 TRUE
## 360 TRUE
## Party.fctr.RFE.X.scale.rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 FALSE
## 288 TRUE
## 327 FALSE
## 360 FALSE
## Party.fctr.RFE.X.scale.rcv.glmnet.err.abs
## 31 0.7897821
## 262 0.4744924
## 267 0.4495786
## 288 0.5023756
## 327 0.4486830
## 360 0.3775890
## Party.fctr.RFE.X.center.rcv.glmnet
## 31 D
## 262 D
## 267 R
## 288 D
## 327 R
## 360 R
## Party.fctr.RFE.X.center.rcv.glmnet.prob
## 31 0.2102179
## 262 0.5255076
## 267 0.5504214
## 288 0.4976244
## 327 0.5513170
## 360 0.6224110
## Party.fctr.RFE.X.center.rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 TRUE
## 288 FALSE
## 327 TRUE
## 360 TRUE
## Party.fctr.RFE.X.center.rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 FALSE
## 288 TRUE
## 327 FALSE
## 360 FALSE
## Party.fctr.RFE.X.center.rcv.glmnet.err.abs
## 31 0.7897821
## 262 0.4744924
## 267 0.4495786
## 288 0.5023756
## 327 0.4486830
## 360 0.3775890
## Party.fctr.All.X.scale.rcv.glmnet
## 31 D
## 262 D
## 267 R
## 288 D
## 327 R
## 360 R
## Party.fctr.All.X.scale.rcv.glmnet.prob
## 31 0.2102179
## 262 0.5255076
## 267 0.5504214
## 288 0.4976244
## 327 0.5513170
## 360 0.6224110
## Party.fctr.All.X.scale.rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 TRUE
## 288 FALSE
## 327 TRUE
## 360 TRUE
## Party.fctr.All.X.scale.rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 FALSE
## 288 TRUE
## 327 FALSE
## 360 FALSE
## Party.fctr.All.X.scale.rcv.glmnet.err.abs
## 31 0.7897821
## 262 0.4744924
## 267 0.4495786
## 288 0.5023756
## 327 0.4486830
## 360 0.3775890
## Party.fctr.All.X.center.rcv.glmnet
## 31 D
## 262 D
## 267 R
## 288 D
## 327 R
## 360 R
## Party.fctr.All.X.center.rcv.glmnet.prob
## 31 0.2102179
## 262 0.5255076
## 267 0.5504214
## 288 0.4976244
## 327 0.5513170
## 360 0.6224110
## Party.fctr.All.X.center.rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 TRUE
## 288 FALSE
## 327 TRUE
## 360 TRUE
## Party.fctr.All.X.center.rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 FALSE
## 288 TRUE
## 327 FALSE
## 360 FALSE
## Party.fctr.All.X.center.rcv.glmnet.err.abs
## 31 0.7897821
## 262 0.4744924
## 267 0.4495786
## 288 0.5023756
## 327 0.4486830
## 360 0.3775890
## Party.fctr.RFE.X.range.rcv.glmnet
## 31 D
## 262 D
## 267 R
## 288 D
## 327 R
## 360 R
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## 31 0.2102179
## 262 0.5255076
## 267 0.5504214
## 288 0.4976244
## 327 0.5513170
## 360 0.6224110
## Party.fctr.RFE.X.range.rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 TRUE
## 288 FALSE
## 327 TRUE
## 360 TRUE
## Party.fctr.RFE.X.range.rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 FALSE
## 288 TRUE
## 327 FALSE
## 360 FALSE
## Party.fctr.RFE.X.range.rcv.glmnet.err.abs
## 31 0.7897821
## 262 0.4744924
## 267 0.4495786
## 288 0.5023756
## 327 0.4486830
## 360 0.3775890
## Party.fctr.RFE.X.BoxCox.rcv.glmnet
## 31 D
## 262 D
## 267 R
## 288 D
## 327 R
## 360 R
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.prob
## 31 0.2102179
## 262 0.5255076
## 267 0.5504214
## 288 0.4976244
## 327 0.5513170
## 360 0.6224110
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 TRUE
## 288 FALSE
## 327 TRUE
## 360 TRUE
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 FALSE
## 288 TRUE
## 327 FALSE
## 360 FALSE
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.err.abs
## 31 0.7897821
## 262 0.4744924
## 267 0.4495786
## 288 0.5023756
## 327 0.4486830
## 360 0.3775890
## Party.fctr.All.X.range.rcv.glmnet
## 31 D
## 262 D
## 267 R
## 288 D
## 327 R
## 360 R
## Party.fctr.All.X.range.rcv.glmnet.prob
## 31 0.2102179
## 262 0.5255076
## 267 0.5504214
## 288 0.4976244
## 327 0.5513170
## 360 0.6224110
## Party.fctr.All.X.range.rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 TRUE
## 288 FALSE
## 327 TRUE
## 360 TRUE
## Party.fctr.All.X.range.rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 FALSE
## 288 TRUE
## 327 FALSE
## 360 FALSE
## Party.fctr.All.X.range.rcv.glmnet.err.abs
## 31 0.7897821
## 262 0.4744924
## 267 0.4495786
## 288 0.5023756
## 327 0.4486830
## 360 0.3775890
## Party.fctr.All.X.BoxCox.rcv.glmnet
## 31 D
## 262 D
## 267 R
## 288 D
## 327 R
## 360 R
## Party.fctr.All.X.BoxCox.rcv.glmnet.prob
## 31 0.2102179
## 262 0.5255076
## 267 0.5504214
## 288 0.4976244
## 327 0.5513170
## 360 0.6224110
## Party.fctr.All.X.BoxCox.rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 TRUE
## 288 FALSE
## 327 TRUE
## 360 TRUE
## Party.fctr.All.X.BoxCox.rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 FALSE
## 288 TRUE
## 327 FALSE
## 360 FALSE
## Party.fctr.All.X.BoxCox.rcv.glmnet.err.abs
## 31 0.7897821
## 262 0.4744924
## 267 0.4495786
## 288 0.5023756
## 327 0.4486830
## 360 0.3775890
## Party.fctr.RFE.X.center.scale.rcv.glmnet
## 31 D
## 262 D
## 267 R
## 288 D
## 327 R
## 360 R
## Party.fctr.RFE.X.center.scale.rcv.glmnet.prob
## 31 0.2102179
## 262 0.5255076
## 267 0.5504214
## 288 0.4976244
## 327 0.5513170
## 360 0.6224110
## Party.fctr.RFE.X.center.scale.rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 TRUE
## 288 FALSE
## 327 TRUE
## 360 TRUE
## Party.fctr.RFE.X.center.scale.rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 FALSE
## 288 TRUE
## 327 FALSE
## 360 FALSE
## Party.fctr.RFE.X.center.scale.rcv.glmnet.err.abs
## 31 0.7897821
## 262 0.4744924
## 267 0.4495786
## 288 0.5023756
## 327 0.4486830
## 360 0.3775890
## Party.fctr.All.X.center.scale.rcv.glmnet
## 31 D
## 262 D
## 267 R
## 288 D
## 327 R
## 360 R
## Party.fctr.All.X.center.scale.rcv.glmnet.prob
## 31 0.2102179
## 262 0.5255076
## 267 0.5504214
## 288 0.4976244
## 327 0.5513170
## 360 0.6224110
## Party.fctr.All.X.center.scale.rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 TRUE
## 288 FALSE
## 327 TRUE
## 360 TRUE
## Party.fctr.All.X.center.scale.rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 FALSE
## 288 TRUE
## 327 FALSE
## 360 FALSE
## Party.fctr.All.X.center.scale.rcv.glmnet.err.abs
## 31 0.7897821
## 262 0.4744924
## 267 0.4495786
## 288 0.5023756
## 327 0.4486830
## 360 0.3775890
## Party.fctr.All.X.zv.pca.rcv.glmnet
## 31 D
## 262 R
## 267 R
## 288 R
## 327 R
## 360 R
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## 31 0.2975234
## 262 0.5163644
## 267 0.5338421
## 288 0.5564895
## 327 0.5545310
## 360 0.5396139
## Party.fctr.All.X.zv.pca.rcv.glmnet.is.acc
## 31 FALSE
## 262 TRUE
## 267 TRUE
## 288 TRUE
## 327 TRUE
## 360 TRUE
## Party.fctr.All.X.zv.pca.rcv.glmnet.err
## 31 TRUE
## 262 FALSE
## 267 FALSE
## 288 FALSE
## 327 FALSE
## 360 FALSE
## Party.fctr.All.X.zv.pca.rcv.glmnet.err.abs Party.fctr.RFE.X..rcv.gbm
## 31 0.7024766 D
## 262 0.4836356 D
## 267 0.4661579 D
## 288 0.4435105 D
## 327 0.4454690 D
## 360 0.4603861 R
## Party.fctr.RFE.X..rcv.gbm.prob Party.fctr.RFE.X..rcv.gbm.is.acc
## 31 0.1850808 FALSE
## 262 0.5454766 FALSE
## 267 0.5082175 FALSE
## 288 0.4847184 FALSE
## 327 0.5334739 FALSE
## 360 0.6443365 TRUE
## Party.fctr.RFE.X..rcv.gbm.err Party.fctr.RFE.X..rcv.gbm.err.abs
## 31 TRUE 0.8149192
## 262 TRUE 0.4545234
## 267 TRUE 0.4917825
## 288 TRUE 0.5152816
## 327 TRUE 0.4665261
## 360 FALSE 0.3556635
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet
## 31 D
## 262 D
## 267 D
## 288 D
## 327 D
## 360 R
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.prob
## 31 0.2172038
## 262 0.5315002
## 267 0.5083768
## 288 0.4859203
## 327 0.5492738
## 360 0.6347761
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 FALSE
## 288 FALSE
## 327 FALSE
## 360 TRUE
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 TRUE
## 288 TRUE
## 327 TRUE
## 360 FALSE
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.err.abs
## 31 0.7827962
## 262 0.4684998
## 267 0.4916232
## 288 0.5140797
## 327 0.4507262
## 360 0.3652239
## Party.fctr.RFE.X..rcv.earth Party.fctr.RFE.X..rcv.earth.prob
## 31 D 0.1485890
## 262 D 0.4947096
## 267 D 0.4670798
## 288 D 0.5218972
## 327 D 0.5844842
## 360 R 0.6236118
## Party.fctr.RFE.X..rcv.earth.is.acc Party.fctr.RFE.X..rcv.earth.err
## 31 FALSE TRUE
## 262 FALSE TRUE
## 267 FALSE TRUE
## 288 FALSE TRUE
## 327 FALSE TRUE
## 360 TRUE FALSE
## Party.fctr.RFE.X..rcv.earth.err.abs Party.fctr.RFE.X..rcv.glm
## 31 0.8514110 D
## 262 0.5052904 D
## 267 0.5329202 D
## 288 0.4781028 D
## 327 0.4155158 D
## 360 0.3763882 D
## Party.fctr.RFE.X..rcv.glm.prob Party.fctr.RFE.X..rcv.glm.is.acc
## 31 0.2418548 FALSE
## 262 0.4571514 FALSE
## 267 0.5049953 FALSE
## 288 0.6265824 FALSE
## 327 0.5618965 FALSE
## 360 0.5770678 FALSE
## Party.fctr.RFE.X..rcv.glm.err Party.fctr.RFE.X..rcv.glm.err.abs
## 31 TRUE 0.7581452
## 262 TRUE 0.5428486
## 267 TRUE 0.4950047
## 288 TRUE 0.3734176
## 327 TRUE 0.4381035
## 360 TRUE 0.4229322
## Party.fctr.All.X..rcv.glm Party.fctr.All.X..rcv.glm.prob
## 31 D 0.2427448
## 262 D 0.4492276
## 267 D 0.4993871
## 288 D 0.6232237
## 327 D 0.5546620
## 360 D 0.5754790
## Party.fctr.All.X..rcv.glm.is.acc Party.fctr.All.X..rcv.glm.err
## 31 FALSE TRUE
## 262 FALSE TRUE
## 267 FALSE TRUE
## 288 FALSE TRUE
## 327 FALSE TRUE
## 360 FALSE TRUE
## Party.fctr.All.X..rcv.glm.err.abs Party.fctr.RFE.X..rcv.rf
## 31 0.7572552 D
## 262 0.5507724 D
## 267 0.5006129 D
## 288 0.3767763 D
## 327 0.4453380 D
## 360 0.4245210 R
## Party.fctr.RFE.X..rcv.rf.prob Party.fctr.RFE.X..rcv.rf.is.acc
## 31 0.086 FALSE
## 262 0.476 FALSE
## 267 0.546 FALSE
## 288 0.538 FALSE
## 327 0.532 FALSE
## 360 0.672 TRUE
## Party.fctr.RFE.X..rcv.rf.err Party.fctr.RFE.X..rcv.rf.err.abs
## 31 TRUE 0.914
## 262 TRUE 0.524
## 267 TRUE 0.454
## 288 TRUE 0.462
## 327 TRUE 0.468
## 360 FALSE 0.328
## Party.fctr.RFE.X..rcv.avNNet Party.fctr.RFE.X..rcv.avNNet.prob
## 31 D 0.2090296
## 262 D 0.4958937
## 267 D 0.4612318
## 288 R 0.8062891
## 327 D 0.3690896
## 360 D 0.5837909
## Party.fctr.RFE.X..rcv.avNNet.is.acc Party.fctr.RFE.X..rcv.avNNet.err
## 31 FALSE TRUE
## 262 FALSE TRUE
## 267 FALSE TRUE
## 288 TRUE FALSE
## 327 FALSE TRUE
## 360 FALSE TRUE
## Party.fctr.RFE.X..rcv.avNNet.err.abs Party.fctr.RFE.X..rcv.nnet
## 31 0.7909704 D
## 262 0.5041063 R
## 267 0.5387682 R
## 288 0.1937109 R
## 327 0.6309104 R
## 360 0.4162091 R
## Party.fctr.RFE.X..rcv.nnet.prob Party.fctr.RFE.X..rcv.nnet.is.acc
## 31 0.1875778 FALSE
## 262 0.7074616 TRUE
## 267 0.7210541 TRUE
## 288 0.7347615 TRUE
## 327 0.7181540 TRUE
## 360 0.7341737 TRUE
## Party.fctr.RFE.X..rcv.nnet.err Party.fctr.RFE.X..rcv.nnet.err.abs
## 31 TRUE 0.8124222
## 262 FALSE 0.2925384
## 267 FALSE 0.2789459
## 288 FALSE 0.2652385
## 327 FALSE 0.2818460
## 360 FALSE 0.2658263
## Party.fctr.RFE.X.ica.rcv.glmnet Party.fctr.RFE.X.ica.rcv.glmnet.prob
## 31 D 0.4783853
## 262 D 0.5158458
## 267 R 0.5582405
## 288 D 0.4676562
## 327 D 0.4136594
## 360 D 0.3902197
## Party.fctr.RFE.X.ica.rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 TRUE
## 288 FALSE
## 327 FALSE
## 360 FALSE
## Party.fctr.RFE.X.ica.rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 FALSE
## 288 TRUE
## 327 TRUE
## 360 TRUE
## Party.fctr.RFE.X.ica.rcv.glmnet.err.abs
## 31 0.5216147
## 262 0.4841542
## 267 0.4417595
## 288 0.5323438
## 327 0.5863406
## 360 0.6097803
## Party.fctr.All.X.ica.rcv.glmnet Party.fctr.All.X.ica.rcv.glmnet.prob
## 31 D 0.4750176
## 262 D 0.5154738
## 267 R 0.5615687
## 288 D 0.4651216
## 327 D 0.4164560
## 360 D 0.3918949
## Party.fctr.All.X.ica.rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 TRUE
## 288 FALSE
## 327 FALSE
## 360 FALSE
## Party.fctr.All.X.ica.rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 FALSE
## 288 TRUE
## 327 TRUE
## 360 TRUE
## Party.fctr.All.X.ica.rcv.glmnet.err.abs
## 31 0.5249824
## 262 0.4845262
## 267 0.4384313
## 288 0.5348784
## 327 0.5835440
## 360 0.6081051
## Party.fctr.Interact.High.cor.Y..rcv.glmnet
## 31 D
## 262 D
## 267 D
## 288 D
## 327 D
## 360 D
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.prob
## 31 0.1473865
## 262 0.3429005
## 267 0.6081857
## 288 0.5115123
## 327 0.6275971
## 360 0.6923525
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 FALSE
## 288 FALSE
## 327 FALSE
## 360 FALSE
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 TRUE
## 288 TRUE
## 327 TRUE
## 360 TRUE
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.err.abs
## 31 0.8526135
## 262 0.6570995
## 267 0.3918143
## 288 0.4884877
## 327 0.3724029
## 360 0.3076475
## Party.fctr.Ensemble.auto.2..rcv.glmnet.prob
## 31 0.1085012
## 262 0.5211783
## 267 0.5250261
## 288 0.5487392
## 327 0.5960210
## 360 0.6348478
## Party.fctr.Ensemble.auto.2..rcv.glmnet
## 31 D
## 262 D
## 267 D
## 288 D
## 327 D
## 360 D
## Party.fctr.Ensemble.auto.2..rcv.glmnet.err
## 31 TRUE
## 262 TRUE
## 267 TRUE
## 288 TRUE
## 327 TRUE
## 360 TRUE
## Party.fctr.Ensemble.auto.2..rcv.glmnet.err.abs
## 31 0.8914988
## 262 0.4788217
## 267 0.4749739
## 288 0.4512608
## 327 0.4039790
## 360 0.3651522
## Party.fctr.Ensemble.auto.2..rcv.glmnet.is.acc
## 31 FALSE
## 262 FALSE
## 267 FALSE
## 288 FALSE
## 327 FALSE
## 360 FALSE
## Party.fctr.Ensemble.auto.2..rcv.glmnet.accurate
## 31 FALSE
## 262 FALSE
## 267 FALSE
## 288 FALSE
## 327 FALSE
## 360 FALSE
## Party.fctr.Ensemble.auto.2..rcv.glmnet.error
## 31 -0.54149880
## 262 -0.12882166
## 267 -0.12497394
## 288 -0.10126077
## 327 -0.05397903
## 360 -0.01515216
## USER_ID Party.fctr Party.fctr.RFE.X.Inc..rcv.bagEarth
## 454 853 D R
## 455 1309 D R
## 456 3978 D R
## 457 892 D R
## 458 217 D R
## 459 3006 D R
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 454 0.8060030
## 455 0.8208309
## 456 0.8390278
## 457 0.8542985
## 458 0.8765461
## 459 0.8977183
## Party.fctr.RFE.X.Inc..rcv.bagEarth.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.RFE.X.Inc..rcv.bagEarth.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.RFE.X.Inc..rcv.bagEarth.err.abs
## 454 0.8060030
## 455 0.8208309
## 456 0.8390278
## 457 0.8542985
## 458 0.8765461
## 459 0.8977183
## Party.fctr.RFE.X..rcv.bagEarth Party.fctr.RFE.X..rcv.bagEarth.prob
## 454 R 0.8353514
## 455 R 0.8456653
## 456 R 0.8329285
## 457 R 0.8419323
## 458 R 0.8886195
## 459 R 0.8955813
## Party.fctr.RFE.X..rcv.bagEarth.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.RFE.X..rcv.bagEarth.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.RFE.X..rcv.bagEarth.err.abs
## 454 0.8353514
## 455 0.8456653
## 456 0.8329285
## 457 0.8419323
## 458 0.8886195
## 459 0.8955813
## Party.fctr.RFE.X.zv.pca.rcv.glmnet
## 454 R
## 455 R
## 456 R
## 457 R
## 458 R
## 459 R
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.prob
## 454 0.7902520
## 455 0.8106673
## 456 0.8089729
## 457 0.8034368
## 458 0.8319108
## 459 0.7871980
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.err.abs
## 454 0.7902520
## 455 0.8106673
## 456 0.8089729
## 457 0.8034368
## 458 0.8319108
## 459 0.7871980
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet
## 454 R
## 455 R
## 456 R
## 457 R
## 458 R
## 459 R
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## 454 0.7199864
## 455 0.7881526
## 456 0.7312636
## 457 0.7444508
## 458 0.7997592
## 459 0.7762167
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.err.abs
## 454 0.7199864
## 455 0.7881526
## 456 0.7312636
## 457 0.7444508
## 458 0.7997592
## 459 0.7762167
## Party.fctr.All.X.spatialSign.rcv.glmnet
## 454 R
## 455 R
## 456 R
## 457 R
## 458 R
## 459 R
## Party.fctr.All.X.spatialSign.rcv.glmnet.prob
## 454 0.7266322
## 455 0.7877210
## 456 0.7528879
## 457 0.7547337
## 458 0.8085836
## 459 0.7661737
## Party.fctr.All.X.spatialSign.rcv.glmnet.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.All.X.spatialSign.rcv.glmnet.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.All.X.spatialSign.rcv.glmnet.err.abs
## 454 0.7266322
## 455 0.7877210
## 456 0.7528879
## 457 0.7547337
## 458 0.8085836
## 459 0.7661737
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet
## 454 R
## 455 R
## 456 R
## 457 R
## 458 R
## 459 R
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.prob
## 454 0.7197814
## 455 0.7876670
## 456 0.7323013
## 457 0.7445485
## 458 0.8003782
## 459 0.7761224
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.err.abs
## 454 0.7197814
## 455 0.7876670
## 456 0.7323013
## 457 0.7445485
## 458 0.8003782
## 459 0.7761224
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet
## 454 R
## 455 R
## 456 R
## 457 R
## 458 R
## 459 R
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.prob
## 454 0.7600849
## 455 0.8168050
## 456 0.7765364
## 457 0.7604862
## 458 0.8244984
## 459 0.7897290
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.err.abs
## 454 0.7600849
## 455 0.8168050
## 456 0.7765364
## 457 0.7604862
## 458 0.8244984
## 459 0.7897290
## Party.fctr.RFE.X.spatialSign.rcv.glmnet
## 454 R
## 455 R
## 456 R
## 457 R
## 458 R
## 459 R
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## 454 0.7255455
## 455 0.7871647
## 456 0.7533857
## 457 0.7539711
## 458 0.8096699
## 459 0.7723208
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.err.abs
## 454 0.7255455
## 455 0.7871647
## 456 0.7533857
## 457 0.7539711
## 458 0.8096699
## 459 0.7723208
## Party.fctr.All.X.nzv.rcv.glmnet Party.fctr.All.X.nzv.rcv.glmnet.prob
## 454 R 0.7385176
## 455 R 0.8003803
## 456 R 0.7383352
## 457 R 0.7582014
## 458 R 0.8090116
## 459 R 0.7959818
## Party.fctr.All.X.nzv.rcv.glmnet.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.All.X.nzv.rcv.glmnet.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.All.X.nzv.rcv.glmnet.err.abs
## 454 0.7385176
## 455 0.8003803
## 456 0.7383352
## 457 0.7582014
## 458 0.8090116
## 459 0.7959818
## Party.fctr.RFE.X.nzv.rcv.glmnet Party.fctr.RFE.X.nzv.rcv.glmnet.prob
## 454 R 0.7382392
## 455 R 0.8006129
## 456 R 0.7393051
## 457 R 0.7597933
## 458 R 0.8087334
## 459 R 0.7918549
## Party.fctr.RFE.X.nzv.rcv.glmnet.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.RFE.X.nzv.rcv.glmnet.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.RFE.X.nzv.rcv.glmnet.err.abs
## 454 0.7382392
## 455 0.8006129
## 456 0.7393051
## 457 0.7597933
## 458 0.8087334
## 459 0.7918549
## Party.fctr.All.X.expoTrans.rcv.glmnet
## 454 R
## 455 R
## 456 R
## 457 R
## 458 R
## 459 R
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## 454 0.7425161
## 455 0.7921285
## 456 0.7621913
## 457 0.7645389
## 458 0.8058837
## 459 0.7827551
## Party.fctr.All.X.expoTrans.rcv.glmnet.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.All.X.expoTrans.rcv.glmnet.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.All.X.expoTrans.rcv.glmnet.err.abs
## 454 0.7425161
## 455 0.7921285
## 456 0.7621913
## 457 0.7645389
## 458 0.8058837
## 459 0.7827551
## Party.fctr.RFE.X.expoTrans.rcv.glmnet
## 454 R
## 455 R
## 456 R
## 457 R
## 458 R
## 459 R
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.prob
## 454 0.7425161
## 455 0.7921285
## 456 0.7621913
## 457 0.7645389
## 458 0.8058837
## 459 0.7827551
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.err.abs
## 454 0.7425161
## 455 0.7921285
## 456 0.7621913
## 457 0.7645389
## 458 0.8058837
## 459 0.7827551
## Party.fctr.All.X.YeoJohnson.rcv.glmnet
## 454 R
## 455 R
## 456 R
## 457 R
## 458 R
## 459 R
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.prob
## 454 0.7426255
## 455 0.7921805
## 456 0.7623069
## 457 0.7646698
## 458 0.8060017
## 459 0.7827597
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.err.abs
## 454 0.7426255
## 455 0.7921805
## 456 0.7623069
## 457 0.7646698
## 458 0.8060017
## 459 0.7827597
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet
## 454 R
## 455 R
## 456 R
## 457 R
## 458 R
## 459 R
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## 454 0.7426255
## 455 0.7921805
## 456 0.7623069
## 457 0.7646698
## 458 0.8060017
## 459 0.7827597
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.err.abs
## 454 0.7426255
## 455 0.7921805
## 456 0.7623069
## 457 0.7646698
## 458 0.8060017
## 459 0.7827597
## Party.fctr.RFE.X..rcv.rpart Party.fctr.RFE.X..rcv.rpart.prob
## 454 R 0.6666667
## 455 R 0.6666667
## 456 R 0.6666667
## 457 R 0.6666667
## 458 R 0.6666667
## 459 R 0.6666667
## Party.fctr.RFE.X..rcv.rpart.is.acc Party.fctr.RFE.X..rcv.rpart.err
## 454 FALSE TRUE
## 455 FALSE TRUE
## 456 FALSE TRUE
## 457 FALSE TRUE
## 458 FALSE TRUE
## 459 FALSE TRUE
## Party.fctr.RFE.X..rcv.rpart.err.abs Party.fctr.RFE.X..rcv.glmnet
## 454 0.6666667 R
## 455 0.6666667 R
## 456 0.6666667 R
## 457 0.6666667 R
## 458 0.6666667 R
## 459 0.6666667 R
## Party.fctr.RFE.X..rcv.glmnet.prob Party.fctr.RFE.X..rcv.glmnet.is.acc
## 454 0.7424880 FALSE
## 455 0.7929111 FALSE
## 456 0.7632908 FALSE
## 457 0.7639110 FALSE
## 458 0.8063896 FALSE
## 459 0.7821974 FALSE
## Party.fctr.RFE.X..rcv.glmnet.err Party.fctr.RFE.X..rcv.glmnet.err.abs
## 454 TRUE 0.7424880
## 455 TRUE 0.7929111
## 456 TRUE 0.7632908
## 457 TRUE 0.7639110
## 458 TRUE 0.8063896
## 459 TRUE 0.7821974
## Party.fctr.All.X.conditionalX.rcv.glmnet
## 454 R
## 455 R
## 456 R
## 457 R
## 458 R
## 459 R
## Party.fctr.All.X.conditionalX.rcv.glmnet.prob
## 454 0.7424880
## 455 0.7929111
## 456 0.7632908
## 457 0.7639110
## 458 0.8063896
## 459 0.7821974
## Party.fctr.All.X.conditionalX.rcv.glmnet.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.All.X.conditionalX.rcv.glmnet.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.All.X.conditionalX.rcv.glmnet.err.abs
## 454 0.7424880
## 455 0.7929111
## 456 0.7632908
## 457 0.7639110
## 458 0.8063896
## 459 0.7821974
## Party.fctr.All.X..rcv.glmnet Party.fctr.All.X..rcv.glmnet.prob
## 454 R 0.7424880
## 455 R 0.7929111
## 456 R 0.7632908
## 457 R 0.7639110
## 458 R 0.8063896
## 459 R 0.7821974
## Party.fctr.All.X..rcv.glmnet.is.acc Party.fctr.All.X..rcv.glmnet.err
## 454 FALSE TRUE
## 455 FALSE TRUE
## 456 FALSE TRUE
## 457 FALSE TRUE
## 458 FALSE TRUE
## 459 FALSE TRUE
## Party.fctr.All.X..rcv.glmnet.err.abs Party.fctr.Low.cor.X..rcv.glmnet
## 454 0.7424880 R
## 455 0.7929111 R
## 456 0.7632908 R
## 457 0.7639110 R
## 458 0.8063896 R
## 459 0.7821974 R
## Party.fctr.Low.cor.X..rcv.glmnet.prob
## 454 0.7424880
## 455 0.7929111
## 456 0.7632908
## 457 0.7639110
## 458 0.8063896
## 459 0.7821974
## Party.fctr.Low.cor.X..rcv.glmnet.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.Low.cor.X..rcv.glmnet.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.Low.cor.X..rcv.glmnet.err.abs
## 454 0.7424880
## 455 0.7929111
## 456 0.7632908
## 457 0.7639110
## 458 0.8063896
## 459 0.7821974
## Party.fctr.RFE.X.conditionalX.rcv.glmnet
## 454 R
## 455 R
## 456 R
## 457 R
## 458 R
## 459 R
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.prob
## 454 0.7424880
## 455 0.7929111
## 456 0.7632908
## 457 0.7639110
## 458 0.8063896
## 459 0.7821974
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.err.abs
## 454 0.7424880
## 455 0.7929111
## 456 0.7632908
## 457 0.7639110
## 458 0.8063896
## 459 0.7821974
## Party.fctr.All.X.zv.rcv.glmnet Party.fctr.All.X.zv.rcv.glmnet.prob
## 454 R 0.7424880
## 455 R 0.7929111
## 456 R 0.7632908
## 457 R 0.7639110
## 458 R 0.8063896
## 459 R 0.7821974
## Party.fctr.All.X.zv.rcv.glmnet.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.All.X.zv.rcv.glmnet.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.All.X.zv.rcv.glmnet.err.abs Party.fctr.RFE.X.zv.rcv.glmnet
## 454 0.7424880 R
## 455 0.7929111 R
## 456 0.7632908 R
## 457 0.7639110 R
## 458 0.8063896 R
## 459 0.7821974 R
## Party.fctr.RFE.X.zv.rcv.glmnet.prob
## 454 0.7424880
## 455 0.7929111
## 456 0.7632908
## 457 0.7639110
## 458 0.8063896
## 459 0.7821974
## Party.fctr.RFE.X.zv.rcv.glmnet.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.RFE.X.zv.rcv.glmnet.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.RFE.X.zv.rcv.glmnet.err.abs
## 454 0.7424880
## 455 0.7929111
## 456 0.7632908
## 457 0.7639110
## 458 0.8063896
## 459 0.7821974
## Party.fctr.RFE.X.scale.rcv.glmnet
## 454 R
## 455 R
## 456 R
## 457 R
## 458 R
## 459 R
## Party.fctr.RFE.X.scale.rcv.glmnet.prob
## 454 0.7424880
## 455 0.7929111
## 456 0.7632908
## 457 0.7639110
## 458 0.8063896
## 459 0.7821974
## Party.fctr.RFE.X.scale.rcv.glmnet.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.RFE.X.scale.rcv.glmnet.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.RFE.X.scale.rcv.glmnet.err.abs
## 454 0.7424880
## 455 0.7929111
## 456 0.7632908
## 457 0.7639110
## 458 0.8063896
## 459 0.7821974
## Party.fctr.RFE.X.center.rcv.glmnet
## 454 R
## 455 R
## 456 R
## 457 R
## 458 R
## 459 R
## Party.fctr.RFE.X.center.rcv.glmnet.prob
## 454 0.7424880
## 455 0.7929111
## 456 0.7632908
## 457 0.7639110
## 458 0.8063896
## 459 0.7821974
## Party.fctr.RFE.X.center.rcv.glmnet.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.RFE.X.center.rcv.glmnet.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.RFE.X.center.rcv.glmnet.err.abs
## 454 0.7424880
## 455 0.7929111
## 456 0.7632908
## 457 0.7639110
## 458 0.8063896
## 459 0.7821974
## Party.fctr.All.X.scale.rcv.glmnet
## 454 R
## 455 R
## 456 R
## 457 R
## 458 R
## 459 R
## Party.fctr.All.X.scale.rcv.glmnet.prob
## 454 0.7424880
## 455 0.7929111
## 456 0.7632908
## 457 0.7639110
## 458 0.8063896
## 459 0.7821974
## Party.fctr.All.X.scale.rcv.glmnet.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.All.X.scale.rcv.glmnet.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.All.X.scale.rcv.glmnet.err.abs
## 454 0.7424880
## 455 0.7929111
## 456 0.7632908
## 457 0.7639110
## 458 0.8063896
## 459 0.7821974
## Party.fctr.All.X.center.rcv.glmnet
## 454 R
## 455 R
## 456 R
## 457 R
## 458 R
## 459 R
## Party.fctr.All.X.center.rcv.glmnet.prob
## 454 0.7424880
## 455 0.7929111
## 456 0.7632908
## 457 0.7639110
## 458 0.8063896
## 459 0.7821974
## Party.fctr.All.X.center.rcv.glmnet.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.All.X.center.rcv.glmnet.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.All.X.center.rcv.glmnet.err.abs
## 454 0.7424880
## 455 0.7929111
## 456 0.7632908
## 457 0.7639110
## 458 0.8063896
## 459 0.7821974
## Party.fctr.RFE.X.range.rcv.glmnet
## 454 R
## 455 R
## 456 R
## 457 R
## 458 R
## 459 R
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## 454 0.7424880
## 455 0.7929111
## 456 0.7632908
## 457 0.7639110
## 458 0.8063896
## 459 0.7821974
## Party.fctr.RFE.X.range.rcv.glmnet.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.RFE.X.range.rcv.glmnet.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.RFE.X.range.rcv.glmnet.err.abs
## 454 0.7424880
## 455 0.7929111
## 456 0.7632908
## 457 0.7639110
## 458 0.8063896
## 459 0.7821974
## Party.fctr.RFE.X.BoxCox.rcv.glmnet
## 454 R
## 455 R
## 456 R
## 457 R
## 458 R
## 459 R
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.prob
## 454 0.7424880
## 455 0.7929111
## 456 0.7632908
## 457 0.7639110
## 458 0.8063896
## 459 0.7821974
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.err.abs
## 454 0.7424880
## 455 0.7929111
## 456 0.7632908
## 457 0.7639110
## 458 0.8063896
## 459 0.7821974
## Party.fctr.All.X.range.rcv.glmnet
## 454 R
## 455 R
## 456 R
## 457 R
## 458 R
## 459 R
## Party.fctr.All.X.range.rcv.glmnet.prob
## 454 0.7424880
## 455 0.7929111
## 456 0.7632908
## 457 0.7639110
## 458 0.8063896
## 459 0.7821974
## Party.fctr.All.X.range.rcv.glmnet.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.All.X.range.rcv.glmnet.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.All.X.range.rcv.glmnet.err.abs
## 454 0.7424880
## 455 0.7929111
## 456 0.7632908
## 457 0.7639110
## 458 0.8063896
## 459 0.7821974
## Party.fctr.All.X.BoxCox.rcv.glmnet
## 454 R
## 455 R
## 456 R
## 457 R
## 458 R
## 459 R
## Party.fctr.All.X.BoxCox.rcv.glmnet.prob
## 454 0.7424880
## 455 0.7929111
## 456 0.7632908
## 457 0.7639110
## 458 0.8063896
## 459 0.7821974
## Party.fctr.All.X.BoxCox.rcv.glmnet.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.All.X.BoxCox.rcv.glmnet.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.All.X.BoxCox.rcv.glmnet.err.abs
## 454 0.7424880
## 455 0.7929111
## 456 0.7632908
## 457 0.7639110
## 458 0.8063896
## 459 0.7821974
## Party.fctr.RFE.X.center.scale.rcv.glmnet
## 454 R
## 455 R
## 456 R
## 457 R
## 458 R
## 459 R
## Party.fctr.RFE.X.center.scale.rcv.glmnet.prob
## 454 0.7424880
## 455 0.7929111
## 456 0.7632908
## 457 0.7639110
## 458 0.8063896
## 459 0.7821974
## Party.fctr.RFE.X.center.scale.rcv.glmnet.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.RFE.X.center.scale.rcv.glmnet.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.RFE.X.center.scale.rcv.glmnet.err.abs
## 454 0.7424880
## 455 0.7929111
## 456 0.7632908
## 457 0.7639110
## 458 0.8063896
## 459 0.7821974
## Party.fctr.All.X.center.scale.rcv.glmnet
## 454 R
## 455 R
## 456 R
## 457 R
## 458 R
## 459 R
## Party.fctr.All.X.center.scale.rcv.glmnet.prob
## 454 0.7424880
## 455 0.7929111
## 456 0.7632908
## 457 0.7639110
## 458 0.8063896
## 459 0.7821974
## Party.fctr.All.X.center.scale.rcv.glmnet.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.All.X.center.scale.rcv.glmnet.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.All.X.center.scale.rcv.glmnet.err.abs
## 454 0.7424880
## 455 0.7929111
## 456 0.7632908
## 457 0.7639110
## 458 0.8063896
## 459 0.7821974
## Party.fctr.All.X.zv.pca.rcv.glmnet
## 454 R
## 455 R
## 456 R
## 457 R
## 458 R
## 459 R
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## 454 0.7797343
## 455 0.7562057
## 456 0.7452304
## 457 0.7601074
## 458 0.8185298
## 459 0.8421323
## Party.fctr.All.X.zv.pca.rcv.glmnet.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.All.X.zv.pca.rcv.glmnet.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.All.X.zv.pca.rcv.glmnet.err.abs Party.fctr.RFE.X..rcv.gbm
## 454 0.7797343 R
## 455 0.7562057 R
## 456 0.7452304 R
## 457 0.7601074 R
## 458 0.8185298 R
## 459 0.8421323 R
## Party.fctr.RFE.X..rcv.gbm.prob Party.fctr.RFE.X..rcv.gbm.is.acc
## 454 0.7534069 FALSE
## 455 0.7591033 FALSE
## 456 0.7332990 FALSE
## 457 0.7595692 FALSE
## 458 0.7784111 FALSE
## 459 0.7370606 FALSE
## Party.fctr.RFE.X..rcv.gbm.err Party.fctr.RFE.X..rcv.gbm.err.abs
## 454 TRUE 0.7534069
## 455 TRUE 0.7591033
## 456 TRUE 0.7332990
## 457 TRUE 0.7595692
## 458 TRUE 0.7784111
## 459 TRUE 0.7370606
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet
## 454 R
## 455 R
## 456 R
## 457 R
## 458 R
## 459 R
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.prob
## 454 0.6798692
## 455 0.7088661
## 456 0.6241034
## 457 0.6940021
## 458 0.7047010
## 459 0.6746674
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.err.abs
## 454 0.6798692
## 455 0.7088661
## 456 0.6241034
## 457 0.6940021
## 458 0.7047010
## 459 0.6746674
## Party.fctr.RFE.X..rcv.earth Party.fctr.RFE.X..rcv.earth.prob
## 454 R 0.8127665
## 455 R 0.8398609
## 456 R 0.8127665
## 457 R 0.8345596
## 458 R 0.8659633
## 459 R 0.8324029
## Party.fctr.RFE.X..rcv.earth.is.acc Party.fctr.RFE.X..rcv.earth.err
## 454 FALSE TRUE
## 455 FALSE TRUE
## 456 FALSE TRUE
## 457 FALSE TRUE
## 458 FALSE TRUE
## 459 FALSE TRUE
## Party.fctr.RFE.X..rcv.earth.err.abs Party.fctr.RFE.X..rcv.glm
## 454 0.8127665 R
## 455 0.8398609 R
## 456 0.8127665 R
## 457 0.8345596 R
## 458 0.8659633 R
## 459 0.8324029 R
## Party.fctr.RFE.X..rcv.glm.prob Party.fctr.RFE.X..rcv.glm.is.acc
## 454 0.8986700 FALSE
## 455 0.7871710 FALSE
## 456 0.8552586 FALSE
## 457 0.8035760 FALSE
## 458 0.9121924 FALSE
## 459 0.9706172 FALSE
## Party.fctr.RFE.X..rcv.glm.err Party.fctr.RFE.X..rcv.glm.err.abs
## 454 TRUE 0.8986700
## 455 TRUE 0.7871710
## 456 TRUE 0.8552586
## 457 TRUE 0.8035760
## 458 TRUE 0.9121924
## 459 TRUE 0.9706172
## Party.fctr.All.X..rcv.glm Party.fctr.All.X..rcv.glm.prob
## 454 R 0.8965899
## 455 R 0.7904827
## 456 R 0.8510400
## 457 R 0.7980782
## 458 R 0.9153599
## 459 R 0.9763278
## Party.fctr.All.X..rcv.glm.is.acc Party.fctr.All.X..rcv.glm.err
## 454 FALSE TRUE
## 455 FALSE TRUE
## 456 FALSE TRUE
## 457 FALSE TRUE
## 458 FALSE TRUE
## 459 FALSE TRUE
## Party.fctr.All.X..rcv.glm.err.abs Party.fctr.RFE.X..rcv.rf
## 454 0.8965899 D
## 455 0.7904827 R
## 456 0.8510400 R
## 457 0.7980782 R
## 458 0.9153599 R
## 459 0.9763278 D
## Party.fctr.RFE.X..rcv.rf.prob Party.fctr.RFE.X..rcv.rf.is.acc
## 454 0.644 TRUE
## 455 0.748 FALSE
## 456 0.798 FALSE
## 457 0.756 FALSE
## 458 0.706 FALSE
## 459 0.634 TRUE
## Party.fctr.RFE.X..rcv.rf.err Party.fctr.RFE.X..rcv.rf.err.abs
## 454 FALSE 0.644
## 455 TRUE 0.748
## 456 TRUE 0.798
## 457 TRUE 0.756
## 458 TRUE 0.706
## 459 FALSE 0.634
## Party.fctr.RFE.X..rcv.avNNet Party.fctr.RFE.X..rcv.avNNet.prob
## 454 R 0.7823527
## 455 R 0.7823527
## 456 R 0.7823527
## 457 R 0.7823527
## 458 R 0.7823527
## 459 R 0.7823527
## Party.fctr.RFE.X..rcv.avNNet.is.acc Party.fctr.RFE.X..rcv.avNNet.err
## 454 FALSE TRUE
## 455 FALSE TRUE
## 456 FALSE TRUE
## 457 FALSE TRUE
## 458 FALSE TRUE
## 459 FALSE TRUE
## Party.fctr.RFE.X..rcv.avNNet.err.abs Party.fctr.RFE.X..rcv.nnet
## 454 0.7823527 R
## 455 0.7823527 D
## 456 0.7823527 R
## 457 0.7823527 R
## 458 0.7823527 R
## 459 0.7823527 R
## Party.fctr.RFE.X..rcv.nnet.prob Party.fctr.RFE.X..rcv.nnet.is.acc
## 454 0.7480819 FALSE
## 455 0.5494767 TRUE
## 456 0.7479254 FALSE
## 457 0.7478350 FALSE
## 458 0.7480898 FALSE
## 459 0.7480751 FALSE
## Party.fctr.RFE.X..rcv.nnet.err Party.fctr.RFE.X..rcv.nnet.err.abs
## 454 TRUE 0.7480819
## 455 FALSE 0.5494767
## 456 TRUE 0.7479254
## 457 TRUE 0.7478350
## 458 TRUE 0.7480898
## 459 TRUE 0.7480751
## Party.fctr.RFE.X.ica.rcv.glmnet Party.fctr.RFE.X.ica.rcv.glmnet.prob
## 454 D 0.4664807
## 455 D 0.4884713
## 456 D 0.5336390
## 457 D 0.4441462
## 458 R 0.5783292
## 459 D 0.4079638
## Party.fctr.RFE.X.ica.rcv.glmnet.is.acc
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 FALSE
## 459 TRUE
## Party.fctr.RFE.X.ica.rcv.glmnet.err
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 TRUE
## 459 FALSE
## Party.fctr.RFE.X.ica.rcv.glmnet.err.abs
## 454 0.4664807
## 455 0.4884713
## 456 0.5336390
## 457 0.4441462
## 458 0.5783292
## 459 0.4079638
## Party.fctr.All.X.ica.rcv.glmnet Party.fctr.All.X.ica.rcv.glmnet.prob
## 454 D 0.4700762
## 455 D 0.4937098
## 456 D 0.5403660
## 457 D 0.4453674
## 458 R 0.5867802
## 459 D 0.4033130
## Party.fctr.All.X.ica.rcv.glmnet.is.acc
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 FALSE
## 459 TRUE
## Party.fctr.All.X.ica.rcv.glmnet.err
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 TRUE
## 459 FALSE
## Party.fctr.All.X.ica.rcv.glmnet.err.abs
## 454 0.4700762
## 455 0.4937098
## 456 0.5403660
## 457 0.4453674
## 458 0.5867802
## 459 0.4033130
## Party.fctr.Interact.High.cor.Y..rcv.glmnet
## 454 D
## 455 D
## 456 D
## 457 D
## 458 R
## 459 R
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.prob
## 454 0.6472282
## 455 0.6174662
## 456 0.6523149
## 457 0.5772760
## 458 0.7743016
## 459 0.7198149
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.is.acc
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 FALSE
## 459 FALSE
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.err
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 TRUE
## 459 TRUE
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.err.abs
## 454 0.6472282
## 455 0.6174662
## 456 0.6523149
## 457 0.5772760
## 458 0.7743016
## 459 0.7198149
## Party.fctr.Ensemble.auto.2..rcv.glmnet.prob
## 454 0.8381343
## 455 0.8471949
## 456 0.8565945
## 457 0.8722500
## 458 0.8773259
## 459 0.8984567
## Party.fctr.Ensemble.auto.2..rcv.glmnet
## 454 R
## 455 R
## 456 R
## 457 R
## 458 R
## 459 R
## Party.fctr.Ensemble.auto.2..rcv.glmnet.err
## 454 TRUE
## 455 TRUE
## 456 TRUE
## 457 TRUE
## 458 TRUE
## 459 TRUE
## Party.fctr.Ensemble.auto.2..rcv.glmnet.err.abs
## 454 0.8381343
## 455 0.8471949
## 456 0.8565945
## 457 0.8722500
## 458 0.8773259
## 459 0.8984567
## Party.fctr.Ensemble.auto.2..rcv.glmnet.is.acc
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.Ensemble.auto.2..rcv.glmnet.accurate
## 454 FALSE
## 455 FALSE
## 456 FALSE
## 457 FALSE
## 458 FALSE
## 459 FALSE
## Party.fctr.Ensemble.auto.2..rcv.glmnet.error
## 454 0.1881343
## 455 0.1971949
## 456 0.2065945
## 457 0.2222500
## 458 0.2273259
## 459 0.2484567
## Q109244.fctr .n.OOB .n.Fit .n.Tst .freqRatio.Fit .freqRatio.OOB
## Yes Yes 179 746 223 0.1675275 0.1605381
## NA NA 438 1746 547 0.3920952 0.3928251
## No No 498 1961 622 0.4403773 0.4466368
## .freqRatio.Tst err.abs.fit.sum err.abs.fit.mean .n.fit err.abs.OOB.sum
## Yes 0.1602011 158.8865 0.2129845 746 84.95637
## NA 0.3929598 799.4847 0.4578950 1746 205.99749
## No 0.4468391 836.2324 0.4264316 1961 234.16301
## err.abs.OOB.mean
## Yes 0.4746166
## NA 0.4703139
## No 0.4702069
## .n.OOB .n.Fit .n.Tst .freqRatio.Fit
## 1115.000000 4453.000000 1392.000000 1.000000
## .freqRatio.OOB .freqRatio.Tst err.abs.fit.sum err.abs.fit.mean
## 1.000000 1.000000 1794.603578 1.097311
## .n.fit err.abs.OOB.sum err.abs.OOB.mean
## 4453.000000 525.116866 1.415137## label step_major step_minor label_minor bgn end elapsed
## 1 fit.models_2_bgn 1 0 teardown 428.014 NA NA## label step_major step_minor label_minor bgn end elapsed
## 1 fit.models_2 1 0 0 7.063 428.025 420.962
## 2 fit.models 1 1 1 428.026 NA NA# if (sum(is.na(glbObsAll$D.P.http)) > 0)
# stop("fit.models_3: Why is this happening ?")
#stop(here"); glb2Sav()
sync_glb_obs_df <- function() {
# Merge or cbind ?
for (col in setdiff(names(glbObsFit), names(glbObsTrn)))
glbObsTrn[glbObsTrn$.lcn == "Fit", col] <<- glbObsFit[, col]
for (col in setdiff(names(glbObsFit), names(glbObsAll)))
glbObsAll[glbObsAll$.lcn == "Fit", col] <<- glbObsFit[, col]
if (all(is.na(glbObsNew[, glb_rsp_var])))
for (col in setdiff(names(glbObsOOB), names(glbObsTrn)))
glbObsTrn[glbObsTrn$.lcn == "OOB", col] <<- glbObsOOB[, col]
for (col in setdiff(names(glbObsOOB), names(glbObsAll)))
glbObsAll[glbObsAll$.lcn == "OOB", col] <<- glbObsOOB[, col]
}
sync_glb_obs_df()
print(setdiff(names(glbObsNew), names(glbObsAll)))## character(0)replay.petrisim(pn = glb_analytics_pn,
replay.trans = (glb_analytics_avl_objs <- c(glb_analytics_avl_objs,
"model.selected")), flip_coord = TRUE)## time trans "bgn " "fit.data.training.all " "predict.data.new " "end "
## 0.0000 multiple enabled transitions: data.training.all data.new model.selected firing: model.selected
## 1.0000 3 2 1 0 0
glb_chunks_df <- myadd_chunk(glb_chunks_df, "fit.data.training", major.inc = TRUE)## label step_major step_minor label_minor bgn end
## 2 fit.models 1 1 1 428.026 455.507
## 3 fit.data.training 2 0 0 455.508 NA
## elapsed
## 2 27.482
## 3 NAStep 2.0: fit data training
#load(paste0(glb_inp_pfx, "dsk.RData"))
if (!is.null(glbMdlFinId) && (glbMdlFinId %in% names(glb_models_lst))) {
warning("Final model same as user selected model")
glb_fin_mdl <- glb_models_lst[[glbMdlFinId]]
} else
# if (nrow(glbObsFit) + length(glbObsFitOutliers) == nrow(glbObsTrn))
if (!all(is.na(glbObsNew[, glb_rsp_var]))) {
warning("Final model same as glbMdlSelId")
glbMdlFinId <- paste0("Final.", glbMdlSelId)
glb_fin_mdl <- glb_sel_mdl
glb_models_lst[[glbMdlFinId]] <- glb_fin_mdl
mdlDf <- glb_models_df[glb_models_df$id == glbMdlSelId, ]
mdlDf$id <- glbMdlFinId
glb_models_df <- rbind(glb_models_df, mdlDf)
} else {
if (myparseMdlId(glbMdlSelId)$family == "RFE.X") {
indepVar <- mygetIndepVar(glb_feats_df)
trnRFEResults <-
myrun_rfe(glbObsTrn, indepVar, glbRFESizes[["Final"]])
if (!isTRUE(all.equal(sort(predictors(trnRFEResults)),
sort(predictors(glbRFEResults))))) {
print("Diffs predictors(trnRFEResults) vs. predictors(glbRFEResults):")
print(setdiff(predictors(trnRFEResults), predictors(glbRFEResults)))
print("Diffs predictors(glbRFEResults) vs. predictors(trnRFEResults):")
print(setdiff(predictors(glbRFEResults), predictors(trnRFEResults)))
}
}
if (grepl("Ensemble", glbMdlSelId)) {
# Find which models are relevant
mdlimp_df <- subset(myget_feats_importance(glb_sel_mdl), imp > 5)
mdlIndepVar <- row.names(mdlimp_df)
if (glb_is_classification)
mdlIdVcr <- glbMdlEnsemble[sapply(glbMdlEnsemble, function(thsMdlId)
mygetPredictIds(glb_rsp_var, thsMdlId)$prob %in% mdlIndepVar)] else
mdlIdVcr <- glbMdlEnsemble[sapply(glbMdlEnsemble, function(thsMdlId)
mygetPredictIds(glb_rsp_var, thsMdlId)$value %in% mdlIndepVar)]
# Fit selected models on glbObsTrn
for (mdl_id in mdlIdVcr) {
mdl_id_components <- myparseMdlId(mdl_id)
mdlIdPfx <- mdl_id_components$family
# if (grepl("RFE\\.X\\.", mdlIdPfx))
# mdlIndepVars <- myadjustInteractionFeats(glb_feats_df, myextract_actual_feats(
# predictors(trnRFEResults))) else
# mdlIndepVars <- trim(unlist(
# strsplit(glb_models_df[glb_models_df$id == mdl_id, "feats"], "[,]")))
thsIndepVar <- unlist(
strsplit(glb_models_df[glb_models_df$id == mdl_id, "feats"], "[,]"))
thsSpc <- myinit_mdl_specs_lst(mdl_specs_lst = list(
id.prefix = paste0("Final.", mdlIdPfx),
type = glb_model_type, tune.df = glbMdlTuneParams,
trainControl.method = mdl_id_components$resample,
trainControl.number = glb_rcv_n_folds,
trainControl.repeats = glb_rcv_n_repeats,
trainControl.classProbs = glb_is_classification,
trainControl.summaryFunction = glbMdlMetricSummaryFn,
trainControl.allowParallel = glbMdlAllowParallel,
train.metric = glbMdlMetricSummary,
train.maximize = glbMdlMetricMaximize,
train.method = mdl_id_components$alg,
train.preProcess = mdl_id_components$preProcess))
ret_lst <- myfit_mdl(mdl_specs_lst = thsSpc,
indepVar = thsIndepVar,
rsp_var = glb_rsp_var,
fit_df = glbObsTrn, OOB_df = NULL)
glbObsTrn <- glb_get_predictions(df = glbObsTrn,
mdl_id = thsSpc$id,
rsp_var = glb_rsp_var,
prob_threshold_def =
subset(glb_models_df, id == mdl_id)$opt.prob.threshold.OOB)
glbObsNew <- glb_get_predictions(df = glbObsNew,
mdl_id = thsSpc$id,
rsp_var = glb_rsp_var,
prob_threshold_def =
subset(glb_models_df, id == mdl_id)$opt.prob.threshold.OOB)
}
}
# "Final" model
if ((model_method <- glb_sel_mdl$method) == "custom")
# get actual method from the mdl_id
model_method <- tail(unlist(strsplit(glbMdlSelId, "[.]")), 1)
if (grepl("Ensemble", glbMdlSelId)) {
# Find which models are relevant
mdlimp_df <- subset(myget_feats_importance(glb_sel_mdl), imp > 5)
mdlIndepVar <- row.names(mdlimp_df)
if (glb_is_classification)
mdlIdVcr <- glbMdlEnsemble[sapply(glbMdlEnsemble, function(thsMdlId)
mygetPredictIds(glb_rsp_var, thsMdlId)$prob %in% mdlIndepVar)] else
mdlIdVcr <- glbMdlEnsemble[sapply(glbMdlEnsemble, function(thsMdlId)
mygetPredictIds(glb_rsp_var, thsMdlId)$value %in% mdlIndepVar)]
mdlIdVcr <- paste("Final", mdlIdVcr, sep = ".")
mdlIndepVar <- gsub(glb_rsp_var, paste0(glb_rsp_var, ".Final"), mdlIndepVar, fixed = TRUE)
# if (glb_is_classification && glb_is_binomial)
# indepVar <- gsub("(.*)\\.(.*)\\.prob", "\\1\\.Train\\.\\2\\.prob",
# row.names(mdlimp_df)) else
# indepVar <- gsub("(.*)\\.(.*)", "\\1\\.Train\\.\\2",
# row.names(mdlimp_df))
} else
if (grepl("RFE.X", glbMdlSelId, fixed = TRUE)) {
# indepVar <- myextract_actual_feats(predictors(trnRFEResults))
mdlIndepVar <- myextract_actual_feats(predictors(glbRFEResults))
} else mdlIndepVar <-
trim(unlist(strsplit(glb_models_df[glb_models_df$id ==
glbMdlSelId
, "feats"], "[,]")))
# if (!is.null(glbMdlPreprocMethods) &&
# ((match_pos <- regexpr(gsub(".", "\\.",
# paste(glbMdlPreprocMethods, collapse = "|"),
# fixed = TRUE), glbMdlSelId)) != -1))
# ths_preProcess <- str_sub(glbMdlSelId, match_pos,
# match_pos + attr(match_pos, "match.length") - 1) else
# ths_preProcess <- NULL
# mdl_id_pfx <- ifelse(grepl("Ensemble", glbMdlSelId),
# "Final.Ensemble", "Final")
thsMdlId <- paste0("Final.", glbMdlSelId)
thsMdlIdComponents <- myparseMdlId(thsMdlId)
# mdl_id_pfx <- paste("Final", myparseMdlId(glbMdlSelId)$family, sep = ".")
mdl_id_pfx <- thsMdlIdComponents$family
trnobs_df <- glbObsTrn
if (!is.null(glbObsTrnOutliers[[mdl_id_pfx]])) {
trnobs_df <- glbObsTrn[!(glbObsTrn[, glbFeatsId] %in% glbObsTrnOutliers[[mdl_id_pfx]]), ]
print(sprintf("Outliers removed: %d", nrow(glbObsTrn) - nrow(trnobs_df)))
print(setdiff(glbObsTrn[, glbFeatsId], trnobs_df[, glbFeatsId]))
}
# Force fitting of Final.glm to identify outliers
# method_vctr <- unique(c(myparseMdlId(glbMdlSelId)$alg, glbMdlFamilies[["Final"]]))
thsSpc <- myinit_mdl_specs_lst(mdl_specs_lst = list(
id.prefix = mdl_id_pfx,
type = glb_model_type, tune.df = glbMdlTuneParams,
trainControl.method = thsMdlIdComponents$resample,
trainControl.number = glb_rcv_n_folds,
trainControl.repeats = glb_rcv_n_repeats,
trainControl.classProbs = glb_is_classification,
trainControl.summaryFunction = glbMdlMetricSummaryFn,
trainControl.allowParallel = glbMdlAllowParallel,
train.metric = glbMdlMetricSummary,
train.maximize = glbMdlMetricMaximize,
train.method = thsMdlIdComponents$alg,
train.preProcess = thsMdlIdComponents$preProcess))
glbMdlFinId <- thsSpc$id
if (!(grepl("Ensemble", glbMdlSelId)))
ret_lst <- myfit_mdl(mdl_specs_lst = thsSpc,
indepVar = mdlIndepVar,
rsp_var = glb_rsp_var,
fit_df = glbObsTrn, OOB_df = NULL) else {
# Final model same as selected model except for the model features
tmp_models_df <- glb_models_df[glb_models_df$id == glbMdlSelId, ]
tmp_models_df$id <- paste0("Final.", tmp_models_df$id)
row.names(tmp_models_df) <- tmp_models_df$id
tmp_models_df$feats <- gsub(glb_rsp_var, paste0(glb_rsp_var, ".Final"),
tmp_models_df$feats, fixed = TRUE)
glb_models_df <- rbind(glb_models_df, tmp_models_df)
tmp_fin_mdl <- glb_sel_mdl
# tmp_fin_mdl$coefnames <- gsub(glb_rsp_var, paste0(glb_rsp_var, ".Final"),
# tmp_fin_mdl$coefnames, fixed = TRUE)
# dimnames(tmp_fin_mdl$finalModel$beta)[[1]] <-
# gsub(glb_rsp_var, paste0(glb_rsp_var, ".Final"),
# dimnames(tmp_fin_mdl$finalModel$beta)[[1]], fixed = TRUE)
# tmp_fin_mdl$finalModel$xNames <-
# gsub(glb_rsp_var, paste0(glb_rsp_var, ".Final"),
# tmp_fin_mdl$finalModel$xNames, fixed = TRUE)
#
# thsAts <- attributes(tmp_fin_mdl$terms)
# # thsAts$variables <- class == "call" & objects / symbols are stored as a formula
# thsAts$term.labels <-
# gsub(glb_rsp_var, paste0(glb_rsp_var, ".Final"),
# thsAts$term.labels, fixed = TRUE)
# attributes(tmp_fin_mdl$terms) <- thsAts
#
glb_models_lst[[glbMdlFinId]] <- tmp_fin_mdl
}
glb_fin_mdl <- glb_models_lst[[glbMdlFinId]]
}## [1] "myfit_mdl: enter: 0.000000 secs"
## [1] "myfit_mdl: fitting model: Final.RFE.X.Inc##rcv#bagEarth"
## [1] " indepVar: Q121011.fctr,Gender.fctr,Q100010.fctr,Q100562.fctr,Q100680.fctr,Q101162.fctr,Q101596.fctr,Q102089.fctr,Q102289.fctr,Q102687.fctr,Q102906.fctr,Q103293.fctr,Q105655.fctr,Q105840.fctr,Q106042.fctr,Q106272.fctr,Q106388.fctr,Q106389.fctr,Q106993.fctr,Q107491.fctr,Q107869.fctr,Q108617.fctr,Q108754.fctr,Q108855.fctr,Q108856.fctr,Q108950.fctr,Q109367.fctr,Q110740.fctr,Q111220.fctr,Q111580.fctr,Q111848.fctr,Q112270.fctr,Q112478.fctr,Q112512.fctr,Q113583.fctr,Q113584.fctr,Q113992.fctr,Q114152.fctr,Q114386.fctr,Q114517.fctr,Q114748.fctr,Q114961.fctr,Q115195.fctr,Q115390.fctr,Q115602.fctr,Q115610.fctr,Q115777.fctr,Q115899.fctr,Q116197.fctr,Q116441.fctr,Q116448.fctr,Q116601.fctr,Q116797.fctr,Q116953.fctr,Q117186.fctr,Q117193.fctr,Q118117.fctr,Q118232.fctr,Q118233.fctr,Q118237.fctr,Q118892.fctr,Q119851.fctr,Q120012.fctr,Q120014.fctr,Q120194.fctr,Q120472.fctr,Q120650.fctr,Q120978.fctr,Q121700.fctr,Q122120.fctr,Q122769.fctr,Q122770.fctr,Q123464.fctr,Q124742.fctr,Q96024.fctr,Q98078.fctr,Q98578.fctr,Q98869.fctr,Q99480.fctr,Q99581.fctr,Q99716.fctr,Q99982.fctr,Q109244.fctr*Q98197.fctr,Q109244.fctr*Q115611.fctr,Q109244.fctr*Q116881.fctr,Q109244.fctr*Q113181.fctr,Q109244.fctr*Hhold.fctr,Q109244.fctr*Edn.fctr,Q109244.fctr*Q108342.fctr,Q109244.fctr*Q106997.fctr,Q109244.fctr*Q100689.fctr,Q109244.fctr*Q119334.fctr,Q109244.fctr*Q122771.fctr,Q109244.fctr*Q119650.fctr,Q109244.fctr*Q124122.fctr,Q109244.fctr*Income.fctr,Q109244.fctr*Q123621.fctr,Q109244.fctr*Q121699.fctr,Q109244.fctr*Q102674.fctr,Q109244.fctr*Q108343.fctr,Q109244.fctr*Q120379.fctr,Q109244.fctr*Q101163.fctr,Q109244.fctr*Q104996.fctr,Q109244.fctr*YOB.Age.fctr,YOB.Age.fctr:YOB.Age.dff,Q109244.fctr:.clusterid.fctr"
## [1] "myfit_mdl: setup complete: 0.712000 secs"## Loading required package: earth## Loading required package: plotmo## Loading required package: plotrix##
## Attaching package: 'plotrix'## The following object is masked from 'package:gplots':
##
## plotCI## Loading required package: TeachingDemos## Fitting degree = 1, nprune = 256 on full training set
## [1] "myfit_mdl: train complete: 1095.363000 secs"
## degree nprune
## 1 1 256
## [1] "myprint_mdl: B:"
## [1] 50
## [1] "myprint_mdl: oob:"
## Accuracy Kappa
## [1,] 0.5859717 0.1695798
## [2,] 0.6007715 0.1986927
## [3,] 0.6113005 0.2226901
## [4,] 0.5970370 0.1922396
## [5,] 0.6223639 0.2390287
## [6,] 0.6156863 0.2255373
## [7,] 0.6131748 0.2224871
## [8,] 0.6062954 0.2073296
## [9,] 0.6022341 0.1976002
## [10,] 0.6170744 0.2278044
## [11,] 0.6289062 0.2540499
## [12,] 0.6106538 0.2207949
## [13,] 0.6049086 0.2055413
## [14,] 0.6138469 0.2158068
## [15,] 0.6030754 0.2023505
## [16,] 0.6088846 0.2105271
## [17,] 0.5985258 0.1943359
## [18,] 0.6156863 0.2291914
## [19,] 0.6063882 0.2100511
## [20,] 0.6035560 0.2012505
## [21,] 0.6105980 0.2204105
## [22,] 0.6168675 0.2261534
## [23,] 0.5976562 0.1931310
## [24,] 0.5927184 0.1798709
## [25,] 0.6199408 0.2336442
## [26,] 0.6077186 0.2115514
## [27,] 0.6072134 0.2109351
## [28,] 0.5936893 0.1835693
## [29,] 0.6023335 0.1991736
## [30,] 0.6016659 0.1980524
## [31,] 0.6204878 0.2376377
## [32,] 0.6085022 0.2090017
## [33,] 0.6217009 0.2406001
## [34,] 0.6045389 0.2054515
## [35,] 0.6208955 0.2310473
## [36,] 0.6047758 0.2050463
## [37,] 0.5990220 0.1955825
## [38,] 0.6108685 0.2181927
## [39,] 0.6190476 0.2325471
## [40,] 0.6315276 0.2571756
## [41,] 0.5924287 0.1810330
## [42,] 0.6033058 0.2071765
## [43,] 0.5821782 0.1587628
## [44,] 0.6048662 0.2063290
## [45,] 0.5979779 0.1916318
## [46,] 0.5945815 0.1837278
## [47,] 0.5980440 0.1916125
## [48,] 0.5960591 0.1873975
## [49,] 0.6261307 0.2446832
## [50,] 0.6019656 0.1988687
## [1] "myprint_mdl: levels:"
## [1] "D" "R"
## [1] "myprint_mdl: weights:"
## [1] TRUE
## [1] "myprint_mdl: xNames:"
## [1] "Gender.fctrF"
## [2] "Gender.fctrM"
## [3] "Q100010.fctrNo"
## [4] "Q100010.fctrYes"
## [5] "Q100562.fctrNo"
## [6] "Q100562.fctrYes"
## [7] "Q100680.fctrNo"
## [8] "Q100680.fctrYes"
## [9] "Q101162.fctrOptimist"
## [10] "Q101162.fctrPessimist"
## [11] "Q101596.fctrNo"
## [12] "Q101596.fctrYes"
## [13] "Q102089.fctrOwn"
## [14] "Q102089.fctrRent"
## [15] "Q102289.fctrNo"
## [16] "Q102289.fctrYes"
## [17] "Q102687.fctrNo"
## [18] "Q102687.fctrYes"
## [19] "Q102906.fctrNo"
## [20] "Q102906.fctrYes"
## [21] "Q103293.fctrNo"
## [22] "Q103293.fctrYes"
## [23] "Q105655.fctrNo"
## [24] "Q105655.fctrYes"
## [25] "Q105840.fctrNo"
## [26] "Q105840.fctrYes"
## [27] "Q106042.fctrNo"
## [28] "Q106042.fctrYes"
## [29] "Q106272.fctrNo"
## [30] "Q106272.fctrYes"
## [31] "Q106388.fctrNo"
## [32] "Q106388.fctrYes"
## [33] "Q106389.fctrNo"
## [34] "Q106389.fctrYes"
## [35] "Q106993.fctrNo"
## [36] "Q106993.fctrYes"
## [37] "Q107491.fctrNo"
## [38] "Q107491.fctrYes"
## [39] "Q107869.fctrNo"
## [40] "Q107869.fctrYes"
## [41] "Q108617.fctrNo"
## [42] "Q108617.fctrYes"
## [43] "Q108754.fctrNo"
## [44] "Q108754.fctrYes"
## [45] "Q108855.fctrUmm..."
## [46] "Q108855.fctrYes!"
## [47] "Q108856.fctrSocialize"
## [48] "Q108856.fctrSpace"
## [49] "Q108950.fctrCautious"
## [50] "Q108950.fctrRisk-friendly"
## [51] "Q109244.fctrNo"
## [52] "Q109244.fctrYes"
## [53] "Edn.fctr.L"
## [54] "Edn.fctr.Q"
## [55] "Edn.fctr.C"
## [56] "Edn.fctr^4"
## [57] "Edn.fctr^5"
## [58] "Edn.fctr^6"
## [59] "Edn.fctr^7"
## [60] "Hhold.fctrMKn"
## [61] "Hhold.fctrMKy"
## [62] "Hhold.fctrPKn"
## [63] "Hhold.fctrPKy"
## [64] "Hhold.fctrSKn"
## [65] "Hhold.fctrSKy"
## [66] "Income.fctr.L"
## [67] "Income.fctr.Q"
## [68] "Income.fctr.C"
## [69] "Income.fctr^4"
## [70] "Income.fctr^5"
## [71] "Income.fctr^6"
## [72] "Q100689.fctrNo"
## [73] "Q100689.fctrYes"
## [74] "Q101163.fctrDad"
## [75] "Q101163.fctrMom"
## [76] "Q102674.fctrNo"
## [77] "Q102674.fctrYes"
## [78] "Q104996.fctrNo"
## [79] "Q104996.fctrYes"
## [80] "Q106997.fctrGr"
## [81] "Q106997.fctrYy"
## [82] "Q108342.fctrIn-person"
## [83] "Q108342.fctrOnline"
## [84] "Q108343.fctrNo"
## [85] "Q108343.fctrYes"
## [86] "Q113181.fctrNo"
## [87] "Q113181.fctrYes"
## [88] "Q115611.fctrNo"
## [89] "Q115611.fctrYes"
## [90] "Q116881.fctrHappy"
## [91] "Q116881.fctrRight"
## [92] "Q119334.fctrNo"
## [93] "Q119334.fctrYes"
## [94] "Q119650.fctrGiving"
## [95] "Q119650.fctrReceiving"
## [96] "Q120379.fctrNo"
## [97] "Q120379.fctrYes"
## [98] "Q121699.fctrNo"
## [99] "Q121699.fctrYes"
## [100] "Q122771.fctrPc"
## [101] "Q122771.fctrPt"
## [102] "Q123621.fctrNo"
## [103] "Q123621.fctrYes"
## [104] "Q124122.fctrNo"
## [105] "Q124122.fctrYes"
## [106] "Q98197.fctrNo"
## [107] "Q98197.fctrYes"
## [108] "YOB.Age.fctr.L"
## [109] "YOB.Age.fctr.Q"
## [110] "YOB.Age.fctr.C"
## [111] "YOB.Age.fctr^4"
## [112] "YOB.Age.fctr^5"
## [113] "YOB.Age.fctr^6"
## [114] "YOB.Age.fctr^7"
## [115] "YOB.Age.fctr^8"
## [116] "Q109367.fctrNo"
## [117] "Q109367.fctrYes"
## [118] "Q110740.fctrMac"
## [119] "Q110740.fctrPC"
## [120] "Q111220.fctrNo"
## [121] "Q111220.fctrYes"
## [122] "Q111580.fctrDemanding"
## [123] "Q111580.fctrSupportive"
## [124] "Q111848.fctrNo"
## [125] "Q111848.fctrYes"
## [126] "Q112270.fctrNo"
## [127] "Q112270.fctrYes"
## [128] "Q112478.fctrNo"
## [129] "Q112478.fctrYes"
## [130] "Q112512.fctrNo"
## [131] "Q112512.fctrYes"
## [132] "Q113583.fctrTalk"
## [133] "Q113583.fctrTunes"
## [134] "Q113584.fctrPeople"
## [135] "Q113584.fctrTechnology"
## [136] "Q113992.fctrNo"
## [137] "Q113992.fctrYes"
## [138] "Q114152.fctrNo"
## [139] "Q114152.fctrYes"
## [140] "Q114386.fctrMysterious"
## [141] "Q114386.fctrTMI"
## [142] "Q114517.fctrNo"
## [143] "Q114517.fctrYes"
## [144] "Q114748.fctrNo"
## [145] "Q114748.fctrYes"
## [146] "Q114961.fctrNo"
## [147] "Q114961.fctrYes"
## [148] "Q115195.fctrNo"
## [149] "Q115195.fctrYes"
## [150] "Q115390.fctrNo"
## [151] "Q115390.fctrYes"
## [152] "Q115602.fctrNo"
## [153] "Q115602.fctrYes"
## [154] "Q115610.fctrNo"
## [155] "Q115610.fctrYes"
## [156] "Q115777.fctrEnd"
## [157] "Q115777.fctrStart"
## [158] "Q115899.fctrCs"
## [159] "Q115899.fctrMe"
## [160] "Q116197.fctrA.M."
## [161] "Q116197.fctrP.M."
## [162] "Q116441.fctrNo"
## [163] "Q116441.fctrYes"
## [164] "Q116448.fctrNo"
## [165] "Q116448.fctrYes"
## [166] "Q116601.fctrNo"
## [167] "Q116601.fctrYes"
## [168] "Q116797.fctrNo"
## [169] "Q116797.fctrYes"
## [170] "Q116953.fctrNo"
## [171] "Q116953.fctrYes"
## [172] "Q117186.fctrCool headed"
## [173] "Q117186.fctrHot headed"
## [174] "Q117193.fctrOdd hours"
## [175] "Q117193.fctrStandard hours"
## [176] "Q118117.fctrNo"
## [177] "Q118117.fctrYes"
## [178] "Q118232.fctrId"
## [179] "Q118232.fctrPr"
## [180] "Q118233.fctrNo"
## [181] "Q118233.fctrYes"
## [182] "Q118237.fctrNo"
## [183] "Q118237.fctrYes"
## [184] "Q118892.fctrNo"
## [185] "Q118892.fctrYes"
## [186] "Q119851.fctrNo"
## [187] "Q119851.fctrYes"
## [188] "Q120012.fctrNo"
## [189] "Q120012.fctrYes"
## [190] "Q120014.fctrNo"
## [191] "Q120014.fctrYes"
## [192] "Q120194.fctrStudy first"
## [193] "Q120194.fctrTry first"
## [194] "Q120472.fctrArt"
## [195] "Q120472.fctrScience"
## [196] "Q120650.fctrNo"
## [197] "Q120650.fctrYes"
## [198] "Q120978.fctrNo"
## [199] "Q120978.fctrYes"
## [200] "Q121011.fctrNo"
## [201] "Q121011.fctrYes"
## [202] "Q121700.fctrNo"
## [203] "Q121700.fctrYes"
## [204] "Q122120.fctrNo"
## [205] "Q122120.fctrYes"
## [206] "Q122769.fctrNo"
## [207] "Q122769.fctrYes"
## [208] "Q122770.fctrNo"
## [209] "Q122770.fctrYes"
## [210] "Q123464.fctrNo"
## [211] "Q123464.fctrYes"
## [212] "Q124742.fctrNo"
## [213] "Q124742.fctrYes"
## [214] "Q96024.fctrNo"
## [215] "Q96024.fctrYes"
## [216] "Q98078.fctrNo"
## [217] "Q98078.fctrYes"
## [218] "Q98578.fctrNo"
## [219] "Q98578.fctrYes"
## [220] "Q98869.fctrNo"
## [221] "Q98869.fctrYes"
## [222] "Q99480.fctrNo"
## [223] "Q99480.fctrYes"
## [224] "Q99581.fctrNo"
## [225] "Q99581.fctrYes"
## [226] "Q99716.fctrNo"
## [227] "Q99716.fctrYes"
## [228] "Q99982.fctrCheck!"
## [229] "Q99982.fctrNope"
## [230] "Q109244.fctrNo:Edn.fctr.L"
## [231] "Q109244.fctrYes:Edn.fctr.L"
## [232] "Q109244.fctrNo:Edn.fctr.Q"
## [233] "Q109244.fctrYes:Edn.fctr.Q"
## [234] "Q109244.fctrNo:Edn.fctr.C"
## [235] "Q109244.fctrYes:Edn.fctr.C"
## [236] "Q109244.fctrNo:Edn.fctr^4"
## [237] "Q109244.fctrYes:Edn.fctr^4"
## [238] "Q109244.fctrNo:Edn.fctr^5"
## [239] "Q109244.fctrYes:Edn.fctr^5"
## [240] "Q109244.fctrNo:Edn.fctr^6"
## [241] "Q109244.fctrYes:Edn.fctr^6"
## [242] "Q109244.fctrNo:Edn.fctr^7"
## [243] "Q109244.fctrYes:Edn.fctr^7"
## [244] "Q109244.fctrNo:Hhold.fctrMKn"
## [245] "Q109244.fctrYes:Hhold.fctrMKn"
## [246] "Q109244.fctrNo:Hhold.fctrMKy"
## [247] "Q109244.fctrYes:Hhold.fctrMKy"
## [248] "Q109244.fctrNo:Hhold.fctrPKn"
## [249] "Q109244.fctrYes:Hhold.fctrPKn"
## [250] "Q109244.fctrNo:Hhold.fctrPKy"
## [251] "Q109244.fctrYes:Hhold.fctrPKy"
## [252] "Q109244.fctrNo:Hhold.fctrSKn"
## [253] "Q109244.fctrYes:Hhold.fctrSKn"
## [254] "Q109244.fctrNo:Hhold.fctrSKy"
## [255] "Q109244.fctrYes:Hhold.fctrSKy"
## [256] "Q109244.fctrNo:Income.fctr.L"
## [257] "Q109244.fctrYes:Income.fctr.L"
## [258] "Q109244.fctrNo:Income.fctr.Q"
## [259] "Q109244.fctrYes:Income.fctr.Q"
## [260] "Q109244.fctrNo:Income.fctr.C"
## [261] "Q109244.fctrYes:Income.fctr.C"
## [262] "Q109244.fctrNo:Income.fctr^4"
## [263] "Q109244.fctrYes:Income.fctr^4"
## [264] "Q109244.fctrNo:Income.fctr^5"
## [265] "Q109244.fctrYes:Income.fctr^5"
## [266] "Q109244.fctrNo:Income.fctr^6"
## [267] "Q109244.fctrYes:Income.fctr^6"
## [268] "Q109244.fctrNo:Q100689.fctrNo"
## [269] "Q109244.fctrYes:Q100689.fctrNo"
## [270] "Q109244.fctrNo:Q100689.fctrYes"
## [271] "Q109244.fctrYes:Q100689.fctrYes"
## [272] "Q109244.fctrNo:Q101163.fctrDad"
## [273] "Q109244.fctrYes:Q101163.fctrDad"
## [274] "Q109244.fctrNo:Q101163.fctrMom"
## [275] "Q109244.fctrYes:Q101163.fctrMom"
## [276] "Q109244.fctrNo:Q102674.fctrNo"
## [277] "Q109244.fctrYes:Q102674.fctrNo"
## [278] "Q109244.fctrNo:Q102674.fctrYes"
## [279] "Q109244.fctrYes:Q102674.fctrYes"
## [280] "Q109244.fctrNo:Q104996.fctrNo"
## [281] "Q109244.fctrYes:Q104996.fctrNo"
## [282] "Q109244.fctrNo:Q104996.fctrYes"
## [283] "Q109244.fctrYes:Q104996.fctrYes"
## [284] "Q109244.fctrNo:Q106997.fctrGr"
## [285] "Q109244.fctrYes:Q106997.fctrGr"
## [286] "Q109244.fctrNo:Q106997.fctrYy"
## [287] "Q109244.fctrYes:Q106997.fctrYy"
## [288] "Q109244.fctrNo:Q108342.fctrIn-person"
## [289] "Q109244.fctrYes:Q108342.fctrIn-person"
## [290] "Q109244.fctrNo:Q108342.fctrOnline"
## [291] "Q109244.fctrYes:Q108342.fctrOnline"
## [292] "Q109244.fctrNo:Q108343.fctrNo"
## [293] "Q109244.fctrYes:Q108343.fctrNo"
## [294] "Q109244.fctrNo:Q108343.fctrYes"
## [295] "Q109244.fctrYes:Q108343.fctrYes"
## [296] "Q109244.fctrNo:Q113181.fctrNo"
## [297] "Q109244.fctrYes:Q113181.fctrNo"
## [298] "Q109244.fctrNo:Q113181.fctrYes"
## [299] "Q109244.fctrYes:Q113181.fctrYes"
## [300] "Q109244.fctrNo:Q115611.fctrNo"
## [301] "Q109244.fctrYes:Q115611.fctrNo"
## [302] "Q109244.fctrNo:Q115611.fctrYes"
## [303] "Q109244.fctrYes:Q115611.fctrYes"
## [304] "Q109244.fctrNo:Q116881.fctrHappy"
## [305] "Q109244.fctrYes:Q116881.fctrHappy"
## [306] "Q109244.fctrNo:Q116881.fctrRight"
## [307] "Q109244.fctrYes:Q116881.fctrRight"
## [308] "Q109244.fctrNo:Q119334.fctrNo"
## [309] "Q109244.fctrYes:Q119334.fctrNo"
## [310] "Q109244.fctrNo:Q119334.fctrYes"
## [311] "Q109244.fctrYes:Q119334.fctrYes"
## [312] "Q109244.fctrNo:Q119650.fctrGiving"
## [313] "Q109244.fctrYes:Q119650.fctrGiving"
## [314] "Q109244.fctrNo:Q119650.fctrReceiving"
## [315] "Q109244.fctrYes:Q119650.fctrReceiving"
## [316] "Q109244.fctrNo:Q120379.fctrNo"
## [317] "Q109244.fctrYes:Q120379.fctrNo"
## [318] "Q109244.fctrNo:Q120379.fctrYes"
## [319] "Q109244.fctrYes:Q120379.fctrYes"
## [320] "Q109244.fctrNo:Q121699.fctrNo"
## [321] "Q109244.fctrYes:Q121699.fctrNo"
## [322] "Q109244.fctrNo:Q121699.fctrYes"
## [323] "Q109244.fctrYes:Q121699.fctrYes"
## [324] "Q109244.fctrNo:Q122771.fctrPc"
## [325] "Q109244.fctrYes:Q122771.fctrPc"
## [326] "Q109244.fctrNo:Q122771.fctrPt"
## [327] "Q109244.fctrYes:Q122771.fctrPt"
## [328] "Q109244.fctrNo:Q123621.fctrNo"
## [329] "Q109244.fctrYes:Q123621.fctrNo"
## [330] "Q109244.fctrNo:Q123621.fctrYes"
## [331] "Q109244.fctrYes:Q123621.fctrYes"
## [332] "Q109244.fctrNo:Q124122.fctrNo"
## [333] "Q109244.fctrYes:Q124122.fctrNo"
## [334] "Q109244.fctrNo:Q124122.fctrYes"
## [335] "Q109244.fctrYes:Q124122.fctrYes"
## [336] "Q109244.fctrNo:Q98197.fctrNo"
## [337] "Q109244.fctrYes:Q98197.fctrNo"
## [338] "Q109244.fctrNo:Q98197.fctrYes"
## [339] "Q109244.fctrYes:Q98197.fctrYes"
## [340] "Q109244.fctrNo:YOB.Age.fctr.L"
## [341] "Q109244.fctrYes:YOB.Age.fctr.L"
## [342] "Q109244.fctrNo:YOB.Age.fctr.Q"
## [343] "Q109244.fctrYes:YOB.Age.fctr.Q"
## [344] "Q109244.fctrNo:YOB.Age.fctr.C"
## [345] "Q109244.fctrYes:YOB.Age.fctr.C"
## [346] "Q109244.fctrNo:YOB.Age.fctr^4"
## [347] "Q109244.fctrYes:YOB.Age.fctr^4"
## [348] "Q109244.fctrNo:YOB.Age.fctr^5"
## [349] "Q109244.fctrYes:YOB.Age.fctr^5"
## [350] "Q109244.fctrNo:YOB.Age.fctr^6"
## [351] "Q109244.fctrYes:YOB.Age.fctr^6"
## [352] "Q109244.fctrNo:YOB.Age.fctr^7"
## [353] "Q109244.fctrYes:YOB.Age.fctr^7"
## [354] "Q109244.fctrNo:YOB.Age.fctr^8"
## [355] "Q109244.fctrYes:YOB.Age.fctr^8"
## [356] "Q109244.fctrNA:.clusterid.fctr2"
## [357] "Q109244.fctrNo:.clusterid.fctr2"
## [358] "Q109244.fctrYes:.clusterid.fctr2"
## [359] "Q109244.fctrNA:.clusterid.fctr3"
## [360] "Q109244.fctrNo:.clusterid.fctr3"
## [361] "Q109244.fctrYes:.clusterid.fctr3"
## [362] "YOB.Age.fctrNA:YOB.Age.dff"
## [363] "YOB.Age.fctr(15,20]:YOB.Age.dff"
## [364] "YOB.Age.fctr(20,25]:YOB.Age.dff"
## [365] "YOB.Age.fctr(25,30]:YOB.Age.dff"
## [366] "YOB.Age.fctr(30,35]:YOB.Age.dff"
## [367] "YOB.Age.fctr(35,40]:YOB.Age.dff"
## [368] "YOB.Age.fctr(40,50]:YOB.Age.dff"
## [369] "YOB.Age.fctr(50,65]:YOB.Age.dff"
## [370] "YOB.Age.fctr(65,90]:YOB.Age.dff"
## [1] "myprint_mdl: problemType:"
## [1] "Classification"
## [1] "myprint_mdl: tuneValue:"
## degree nprune
## 1 1 256
## [1] "myprint_mdl: obsLevels:"
## [1] "D" "R"
## [1] "myfit_mdl: train diagnostics complete: 1095.374000 secs"
## Prediction
## Reference D R
## D 2095 856
## R 1011 1606
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 6.646911e-01 3.246969e-01 6.521172e-01 6.770922e-01 5.299928e-01
## AccuracyPValue McnemarPValue
## 1.733115e-92 3.651218e-04
## [1] "myfit_mdl: predict complete: 1127.189000 secs"
## id
## 1 Final.RFE.X.Inc##rcv#bagEarth
## feats
## 1 Q121011.fctr,Gender.fctr,Q100010.fctr,Q100562.fctr,Q100680.fctr,Q101162.fctr,Q101596.fctr,Q102089.fctr,Q102289.fctr,Q102687.fctr,Q102906.fctr,Q103293.fctr,Q105655.fctr,Q105840.fctr,Q106042.fctr,Q106272.fctr,Q106388.fctr,Q106389.fctr,Q106993.fctr,Q107491.fctr,Q107869.fctr,Q108617.fctr,Q108754.fctr,Q108855.fctr,Q108856.fctr,Q108950.fctr,Q109367.fctr,Q110740.fctr,Q111220.fctr,Q111580.fctr,Q111848.fctr,Q112270.fctr,Q112478.fctr,Q112512.fctr,Q113583.fctr,Q113584.fctr,Q113992.fctr,Q114152.fctr,Q114386.fctr,Q114517.fctr,Q114748.fctr,Q114961.fctr,Q115195.fctr,Q115390.fctr,Q115602.fctr,Q115610.fctr,Q115777.fctr,Q115899.fctr,Q116197.fctr,Q116441.fctr,Q116448.fctr,Q116601.fctr,Q116797.fctr,Q116953.fctr,Q117186.fctr,Q117193.fctr,Q118117.fctr,Q118232.fctr,Q118233.fctr,Q118237.fctr,Q118892.fctr,Q119851.fctr,Q120012.fctr,Q120014.fctr,Q120194.fctr,Q120472.fctr,Q120650.fctr,Q120978.fctr,Q121700.fctr,Q122120.fctr,Q122769.fctr,Q122770.fctr,Q123464.fctr,Q124742.fctr,Q96024.fctr,Q98078.fctr,Q98578.fctr,Q98869.fctr,Q99480.fctr,Q99581.fctr,Q99716.fctr,Q99982.fctr,Q109244.fctr*Q98197.fctr,Q109244.fctr*Q115611.fctr,Q109244.fctr*Q116881.fctr,Q109244.fctr*Q113181.fctr,Q109244.fctr*Hhold.fctr,Q109244.fctr*Edn.fctr,Q109244.fctr*Q108342.fctr,Q109244.fctr*Q106997.fctr,Q109244.fctr*Q100689.fctr,Q109244.fctr*Q119334.fctr,Q109244.fctr*Q122771.fctr,Q109244.fctr*Q119650.fctr,Q109244.fctr*Q124122.fctr,Q109244.fctr*Income.fctr,Q109244.fctr*Q123621.fctr,Q109244.fctr*Q121699.fctr,Q109244.fctr*Q102674.fctr,Q109244.fctr*Q108343.fctr,Q109244.fctr*Q120379.fctr,Q109244.fctr*Q101163.fctr,Q109244.fctr*Q104996.fctr,Q109244.fctr*YOB.Age.fctr,YOB.Age.fctr:YOB.Age.dff,Q109244.fctr:.clusterid.fctr
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 0 1094.474 1092.813
## max.AUCpROC.fit max.Sens.fit max.Spec.fit max.AUCROCR.fit
## 1 0.6618043 0.7099288 0.6136798 0.7235205
## opt.prob.threshold.fit max.f.score.fit max.Accuracy.fit
## 1 0.5 0.632408 0.6646911
## max.AccuracyLower.fit max.AccuracyUpper.fit max.Kappa.fit
## 1 0.6521172 0.6770922 0.3246969
## [1] "myfit_mdl: exit: 1127.225000 secs"## Warning in glb_get_predictions(df = glbObsTrn, mdl_id = thsSpc$id, rsp_var
## = glb_rsp_var, : Using default probability threshold: 0.6## Warning in glb_get_predictions(df = glbObsNew, mdl_id = thsSpc$id, rsp_var
## = glb_rsp_var, : Using default probability threshold: 0.6## [1] "myfit_mdl: enter: 0.000000 secs"
## [1] "myfit_mdl: fitting model: Final.All.X#ica#rcv#glmnet"
## [1] " indepVar: Gender.fctr,Q115611.fctr,Q113181.fctr,Q98197.fctr,Q120472.fctr,Q116881.fctr,Q101596.fctr,Q106272.fctr,Q110740.fctr,Q108855.fctr,Q122771.fctr,Q99480.fctr,Q106388.fctr,Q115899.fctr,Q120014.fctr,Q107869.fctr,Q98869.fctr,Q120650.fctr,Q122769.fctr,Q123621.fctr,Q118117.fctr,Q116441.fctr,Q122120.fctr,Q119334.fctr,Q106993.fctr,Q105655.fctr,Q117186.fctr,Q122770.fctr,Q114152.fctr,Q120194.fctr,Q118232.fctr,Income.fctr,Q116197.fctr,Q102289.fctr,Q118233.fctr,Q108856.fctr,Q99982.fctr,Q117193.fctr,Q123464.fctr,Q111580.fctr,Q119650.fctr,Q118237.fctr,Q112270.fctr,Q116797.fctr,Q124742.fctr,Q99581.fctr,Q115777.fctr,Q101162.fctr,Q98578.fctr,Q108754.fctr,.rnorm,Q106389.fctr,Q96024.fctr,Q108343.fctr,Q112512.fctr,Q120978.fctr,Q106997.fctr,Q115610.fctr,Q116953.fctr,Q115602.fctr,Q100010.fctr,Q108617.fctr,Q100562.fctr,Q107491.fctr,Q114748.fctr,Q112478.fctr,Q103293.fctr,Q102674.fctr,Q108950.fctr,Q113584.fctr,Q102906.fctr,Q104996.fctr,Q116601.fctr,Q116448.fctr,Q106042.fctr,Q121011.fctr,Q113992.fctr,Q111220.fctr,Q124122.fctr,Q121700.fctr,Q114961.fctr,Q109367.fctr,Q120012.fctr,Q114517.fctr,Q119851.fctr,Q115390.fctr,Q102687.fctr,Q118892.fctr,YOB.Age.fctr,Q111848.fctr,Q108342.fctr,Q100680.fctr,Q114386.fctr,Q98059.fctr,Q102089.fctr,Q115195.fctr,Q113583.fctr,Q105840.fctr,Q121699.fctr,Q120379.fctr,Q99716.fctr,Q98078.fctr,Q100689.fctr,Q101163.fctr,Edn.fctr,Hhold.fctr,Q109244.fctr,YOB.Age.fctr:YOB.Age.dff,Q109244.fctr:.clusterid.fctr"## Warning in myfit_mdl(mdl_specs_lst = thsSpc, indepVar = thsIndepVar,
## rsp_var = glb_rsp_var, : myfit_mdl: preProcess method: range currently does
## not work for columns with no variance: YOB.Age.fctrNA:YOB.Age.dff## [1] "myfit_mdl: setup complete: 0.888000 secs"## Warning in preProcess.default(method = "ica", n.comp = 3, x =
## structure(c(-0.480112420809766, : These variables have zero variances:
## YOB.Age.fctrNA:YOB.Age.dff## + Fold1.Rep1: alpha=0.100, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold1.Rep1: alpha=0.100, lambda=0.02422
## + Fold1.Rep1: alpha=0.325, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold1.Rep1: alpha=0.325, lambda=0.02422
## + Fold1.Rep1: alpha=0.550, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold1.Rep1: alpha=0.550, lambda=0.02422
## + Fold1.Rep1: alpha=0.775, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold1.Rep1: alpha=0.775, lambda=0.02422
## + Fold1.Rep1: alpha=1.000, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold1.Rep1: alpha=1.000, lambda=0.02422
## + Fold2.Rep1: alpha=0.100, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold2.Rep1: alpha=0.100, lambda=0.02422
## + Fold2.Rep1: alpha=0.325, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold2.Rep1: alpha=0.325, lambda=0.02422
## + Fold2.Rep1: alpha=0.550, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold2.Rep1: alpha=0.550, lambda=0.02422
## + Fold2.Rep1: alpha=0.775, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold2.Rep1: alpha=0.775, lambda=0.02422
## + Fold2.Rep1: alpha=1.000, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold2.Rep1: alpha=1.000, lambda=0.02422
## + Fold3.Rep1: alpha=0.100, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold3.Rep1: alpha=0.100, lambda=0.02422
## + Fold3.Rep1: alpha=0.325, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold3.Rep1: alpha=0.325, lambda=0.02422
## + Fold3.Rep1: alpha=0.550, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold3.Rep1: alpha=0.550, lambda=0.02422
## + Fold3.Rep1: alpha=0.775, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold3.Rep1: alpha=0.775, lambda=0.02422
## + Fold3.Rep1: alpha=1.000, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold3.Rep1: alpha=1.000, lambda=0.02422
## + Fold1.Rep2: alpha=0.100, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold1.Rep2: alpha=0.100, lambda=0.02422
## + Fold1.Rep2: alpha=0.325, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold1.Rep2: alpha=0.325, lambda=0.02422
## + Fold1.Rep2: alpha=0.550, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold1.Rep2: alpha=0.550, lambda=0.02422
## + Fold1.Rep2: alpha=0.775, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold1.Rep2: alpha=0.775, lambda=0.02422
## + Fold1.Rep2: alpha=1.000, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold1.Rep2: alpha=1.000, lambda=0.02422
## + Fold2.Rep2: alpha=0.100, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold2.Rep2: alpha=0.100, lambda=0.02422
## + Fold2.Rep2: alpha=0.325, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold2.Rep2: alpha=0.325, lambda=0.02422
## + Fold2.Rep2: alpha=0.550, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold2.Rep2: alpha=0.550, lambda=0.02422
## + Fold2.Rep2: alpha=0.775, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold2.Rep2: alpha=0.775, lambda=0.02422
## + Fold2.Rep2: alpha=1.000, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold2.Rep2: alpha=1.000, lambda=0.02422
## + Fold3.Rep2: alpha=0.100, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold3.Rep2: alpha=0.100, lambda=0.02422
## + Fold3.Rep2: alpha=0.325, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold3.Rep2: alpha=0.325, lambda=0.02422
## + Fold3.Rep2: alpha=0.550, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold3.Rep2: alpha=0.550, lambda=0.02422
## + Fold3.Rep2: alpha=0.775, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold3.Rep2: alpha=0.775, lambda=0.02422
## + Fold3.Rep2: alpha=1.000, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold3.Rep2: alpha=1.000, lambda=0.02422
## + Fold1.Rep3: alpha=0.100, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold1.Rep3: alpha=0.100, lambda=0.02422
## + Fold1.Rep3: alpha=0.325, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold1.Rep3: alpha=0.325, lambda=0.02422
## + Fold1.Rep3: alpha=0.550, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold1.Rep3: alpha=0.550, lambda=0.02422
## + Fold1.Rep3: alpha=0.775, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold1.Rep3: alpha=0.775, lambda=0.02422
## + Fold1.Rep3: alpha=1.000, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold1.Rep3: alpha=1.000, lambda=0.02422
## + Fold2.Rep3: alpha=0.100, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold2.Rep3: alpha=0.100, lambda=0.02422
## + Fold2.Rep3: alpha=0.325, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold2.Rep3: alpha=0.325, lambda=0.02422
## + Fold2.Rep3: alpha=0.550, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold2.Rep3: alpha=0.550, lambda=0.02422
## + Fold2.Rep3: alpha=0.775, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold2.Rep3: alpha=0.775, lambda=0.02422
## + Fold2.Rep3: alpha=1.000, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold2.Rep3: alpha=1.000, lambda=0.02422
## + Fold3.Rep3: alpha=0.100, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold3.Rep3: alpha=0.100, lambda=0.02422
## + Fold3.Rep3: alpha=0.325, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold3.Rep3: alpha=0.325, lambda=0.02422
## + Fold3.Rep3: alpha=0.550, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold3.Rep3: alpha=0.550, lambda=0.02422
## + Fold3.Rep3: alpha=0.775, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold3.Rep3: alpha=0.775, lambda=0.02422
## + Fold3.Rep3: alpha=1.000, lambda=0.02422## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff## - Fold3.Rep3: alpha=1.000, lambda=0.02422
## Aggregating results
## Selecting tuning parameters
## Fitting alpha = 0.55, lambda = 0.00112 on full training set## Warning in preProcess.default(thresh = 0.95, k = 5, method = "ica", n.comp
## = 3, : These variables have zero variances: YOB.Age.fctrNA:YOB.Age.dff
## [1] "myfit_mdl: train complete: 53.886000 secs"## Warning in myfit_mdl(mdl_specs_lst = thsSpc, indepVar = thsIndepVar,
## rsp_var = glb_rsp_var, : model's bestTune found at an extreme of tuneGrid
## for parameter: lambda
## Length Class Mode
## a0 36 -none- numeric
## beta 108 dgCMatrix S4
## df 36 -none- numeric
## dim 2 -none- numeric
## lambda 36 -none- numeric
## dev.ratio 36 -none- numeric
## nulldev 1 -none- numeric
## npasses 1 -none- numeric
## jerr 1 -none- numeric
## offset 1 -none- logical
## classnames 2 -none- character
## call 5 -none- call
## nobs 1 -none- numeric
## lambdaOpt 1 -none- numeric
## xNames 3 -none- character
## problemType 1 -none- character
## tuneValue 2 data.frame list
## obsLevels 2 -none- character
## [1] "min lambda > lambdaOpt:"
## (Intercept) ICA1 ICA2 ICA3
## -0.121638267 -0.060579277 0.002507085 0.218627380
## [1] "max lambda < lambdaOpt:"
## [1] "Feats mismatch between coefs_left & rght:"
## [1] "(Intercept)" "ICA1" "ICA2" "ICA3"
## [1] "myfit_mdl: train diagnostics complete: 54.589000 secs"
## Prediction
## Reference D R
## D 2285 666
## R 1811 806
## Accuracy Kappa AccuracyLower AccuracyUpper AccuracyNull
## 5.551365e-01 8.438951e-02 5.419676e-01 5.682476e-01 5.299928e-01
## AccuracyPValue McnemarPValue
## 8.842406e-05 6.438284e-117
## [1] "myfit_mdl: predict complete: 66.233000 secs"
## id
## 1 Final.All.X#ica#rcv#glmnet
## feats
## 1 Gender.fctr,Q115611.fctr,Q113181.fctr,Q98197.fctr,Q120472.fctr,Q116881.fctr,Q101596.fctr,Q106272.fctr,Q110740.fctr,Q108855.fctr,Q122771.fctr,Q99480.fctr,Q106388.fctr,Q115899.fctr,Q120014.fctr,Q107869.fctr,Q98869.fctr,Q120650.fctr,Q122769.fctr,Q123621.fctr,Q118117.fctr,Q116441.fctr,Q122120.fctr,Q119334.fctr,Q106993.fctr,Q105655.fctr,Q117186.fctr,Q122770.fctr,Q114152.fctr,Q120194.fctr,Q118232.fctr,Income.fctr,Q116197.fctr,Q102289.fctr,Q118233.fctr,Q108856.fctr,Q99982.fctr,Q117193.fctr,Q123464.fctr,Q111580.fctr,Q119650.fctr,Q118237.fctr,Q112270.fctr,Q116797.fctr,Q124742.fctr,Q99581.fctr,Q115777.fctr,Q101162.fctr,Q98578.fctr,Q108754.fctr,.rnorm,Q106389.fctr,Q96024.fctr,Q108343.fctr,Q112512.fctr,Q120978.fctr,Q106997.fctr,Q115610.fctr,Q116953.fctr,Q115602.fctr,Q100010.fctr,Q108617.fctr,Q100562.fctr,Q107491.fctr,Q114748.fctr,Q112478.fctr,Q103293.fctr,Q102674.fctr,Q108950.fctr,Q113584.fctr,Q102906.fctr,Q104996.fctr,Q116601.fctr,Q116448.fctr,Q106042.fctr,Q121011.fctr,Q113992.fctr,Q111220.fctr,Q124122.fctr,Q121700.fctr,Q114961.fctr,Q109367.fctr,Q120012.fctr,Q114517.fctr,Q119851.fctr,Q115390.fctr,Q102687.fctr,Q118892.fctr,YOB.Age.fctr,Q111848.fctr,Q108342.fctr,Q100680.fctr,Q114386.fctr,Q98059.fctr,Q102089.fctr,Q115195.fctr,Q113583.fctr,Q105840.fctr,Q121699.fctr,Q120379.fctr,Q99716.fctr,Q98078.fctr,Q100689.fctr,Q101163.fctr,Edn.fctr,Hhold.fctr,Q109244.fctr,YOB.Age.fctr:YOB.Age.dff,Q109244.fctr:.clusterid.fctr
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 15 52.873 1.132
## max.AUCpROC.fit max.Sens.fit max.Spec.fit max.AUCROCR.fit
## 1 0.54115 0.7743138 0.3079862 0.5668033
## opt.prob.threshold.fit max.f.score.fit max.Accuracy.fit
## 1 0.5 0.3942284 0.5525619
## max.AccuracyLower.fit max.AccuracyUpper.fit max.Kappa.fit
## 1 0.5419676 0.5682476 0.07852091
## max.AccuracySD.fit max.KappaSD.fit
## 1 0.009734575 0.01708999
## [1] "myfit_mdl: exit: 66.272000 secs"## Warning in glb_get_predictions(df = glbObsTrn, mdl_id = thsSpc$id, rsp_var
## = glb_rsp_var, : Using default probability threshold: 0.55## Warning in glb_get_predictions(df = glbObsNew, mdl_id = thsSpc$id, rsp_var
## = glb_rsp_var, : Using default probability threshold: 0.55
rm(ret_lst)
glb_chunks_df <- myadd_chunk(glb_chunks_df, "fit.data.training", major.inc=FALSE)## label step_major step_minor label_minor bgn end
## 3 fit.data.training 2 0 0 455.508 1668.861
## 4 fit.data.training 2 1 1 1668.862 NA
## elapsed
## 3 1213.353
## 4 NA#stop(here"); glb2Sav()
if (glb_is_classification && glb_is_binomial)
prob_threshold <- glb_models_df[glb_models_df$id == glbMdlSelId,
"opt.prob.threshold.OOB"] else
prob_threshold <- NULL
if (grepl("Ensemble", glbMdlFinId)) {
# Get predictions for each model in ensemble; Outliers that have been moved to OOB might not have been predicted yet
mdlEnsembleComps <- unlist(str_split(subset(glb_models_df,
id == glbMdlFinId)$feats, ","))
if (glb_is_classification)
# mdlEnsembleComps <- gsub("\\.prob$", "", mdlEnsembleComps)
# mdlEnsembleComps <- gsub(paste0("^",
# gsub(".", "\\.", mygetPredictIds(glb_rsp_var)$value, fixed = TRUE)),
# "", mdlEnsembleComps)
mdlEnsembleComps <- glb_models_df$id[sapply(glb_models_df$id, function(thsMdlId)
mygetPredictIds(glb_rsp_var, thsMdlId)$prob %in% mdlEnsembleComps)] else
mdlEnsembleComps <- glb_models_df$id[sapply(glb_models_df$id, function(thsMdlId)
mygetPredictIds(glb_rsp_var, thsMdlId)$value %in% mdlEnsembleComps)]
for (mdl_id in mdlEnsembleComps) {
glbObsTrn <- glb_get_predictions(df = glbObsTrn, mdl_id = mdl_id,
rsp_var = glb_rsp_var,
prob_threshold_def = prob_threshold)
glbObsNew <- glb_get_predictions(df = glbObsNew, mdl_id = mdl_id,
rsp_var = glb_rsp_var,
prob_threshold_def = prob_threshold)
# glb_fin_mdl uses the same coefficients as glb_sel_mdl,
# so copy the "Final" columns into "non-Final" columns
glbObsTrn[, gsub("Final.", "", unlist(mygetPredictIds(glb_rsp_var, mdl_id)))] <-
glbObsTrn[, unlist(mygetPredictIds(glb_rsp_var, mdl_id))]
glbObsNew[, gsub("Final.", "", unlist(mygetPredictIds(glb_rsp_var, mdl_id)))] <-
glbObsNew[, unlist(mygetPredictIds(glb_rsp_var, mdl_id))]
}
}## Warning in glb_get_predictions(df = glbObsTrn, mdl_id = mdl_id, rsp_var =
## glb_rsp_var, : Using default probability threshold: 0.65## Warning in glb_get_predictions(df = glbObsNew, mdl_id = mdl_id, rsp_var =
## glb_rsp_var, : Using default probability threshold: 0.65## Warning in glb_get_predictions(df = glbObsTrn, mdl_id = mdl_id, rsp_var =
## glb_rsp_var, : Using default probability threshold: 0.65## Warning in glb_get_predictions(df = glbObsNew, mdl_id = mdl_id, rsp_var =
## glb_rsp_var, : Using default probability threshold: 0.65glbObsTrn <- glb_get_predictions(df = glbObsTrn, mdl_id = glbMdlFinId,
rsp_var = glb_rsp_var,
prob_threshold_def = prob_threshold)
glb_featsimp_df <- myget_feats_importance(mdl=glb_fin_mdl,
featsimp_df=glb_featsimp_df)
#glb_featsimp_df[, paste0(glbMdlFinId, ".imp")] <- glb_featsimp_df$imp
print(glb_featsimp_df)## Ensemble.auto.2..rcv.glmnet.imp
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 100.000000
## Party.fctr.All.X.ica.rcv.glmnet.prob 9.724945
## .rnorm 0.000000
## imp
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 100.000000
## Party.fctr.All.X.ica.rcv.glmnet.prob 9.724945
## .rnorm 0.000000if (glb_is_classification && glb_is_binomial)
glb_analytics_diag_plots(obs_df=glbObsTrn, mdl_id=glbMdlFinId,
prob_threshold=glb_models_df[glb_models_df$id == glbMdlSelId,
"opt.prob.threshold.OOB"]) else
glb_analytics_diag_plots(obs_df=glbObsTrn, mdl_id=glbMdlFinId) 
## [1] "Min/Max Boundaries: "
## USER_ID Party.fctr Party.fctr.RFE.X.Inc..rcv.bagEarth
## 1 2492 R D
## 2 1798 D D
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 1 0.5354627
## 2 0.1447204
## Party.fctr.RFE.X.Inc..rcv.bagEarth.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.RFE.X.Inc..rcv.bagEarth.err
## 1 TRUE
## 2 FALSE
## Party.fctr.RFE.X.Inc..rcv.bagEarth.err.abs
## 1 0.4645373
## 2 0.1447204
## Party.fctr.RFE.X..rcv.bagEarth Party.fctr.RFE.X..rcv.bagEarth.prob
## 1 D 0.4868843
## 2 D 0.1119821
## Party.fctr.RFE.X..rcv.bagEarth.is.acc Party.fctr.RFE.X..rcv.bagEarth.err
## 1 FALSE TRUE
## 2 TRUE FALSE
## Party.fctr.RFE.X..rcv.bagEarth.err.abs
## 1 0.5131157
## 2 0.1119821
## Party.fctr.RFE.X.zv.pca.rcv.glmnet
## 1 D
## 2 D
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.prob
## 1 0.4915753
## 2 0.1693797
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.err.abs
## 1 0.5084247
## 2 0.1693797
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet
## 1 D
## 2 D
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## 1 0.5198149
## 2 0.1564315
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.err.abs
## 1 0.4801851
## 2 0.1564315
## Party.fctr.All.X.spatialSign.rcv.glmnet
## 1 D
## 2 D
## Party.fctr.All.X.spatialSign.rcv.glmnet.prob
## 1 0.5910747
## 2 0.1381459
## Party.fctr.All.X.spatialSign.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.All.X.spatialSign.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.All.X.spatialSign.rcv.glmnet.err.abs
## 1 0.4089253
## 2 0.1381459
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet
## 1 D
## 2 D
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.prob
## 1 0.5218172
## 2 0.1413687
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.err.abs
## 1 0.4781828
## 2 0.1413687
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet
## 1 D
## 2 D
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.prob
## 1 0.5447020
## 2 0.1168695
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.err.abs
## 1 0.4552980
## 2 0.1168695
## Party.fctr.RFE.X.spatialSign.rcv.glmnet
## 1 D
## 2 D
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## 1 0.5927802
## 2 0.1290844
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.err.abs
## 1 0.4072198
## 2 0.1290844
## Party.fctr.All.X.nzv.rcv.glmnet Party.fctr.All.X.nzv.rcv.glmnet.prob
## 1 D 0.5324093
## 2 D 0.1441652
## Party.fctr.All.X.nzv.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.All.X.nzv.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.All.X.nzv.rcv.glmnet.err.abs Party.fctr.RFE.X.nzv.rcv.glmnet
## 1 0.4675907 D
## 2 0.1441652 D
## Party.fctr.RFE.X.nzv.rcv.glmnet.prob
## 1 0.5334438
## 2 0.1395257
## Party.fctr.RFE.X.nzv.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.RFE.X.nzv.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.RFE.X.nzv.rcv.glmnet.err.abs
## 1 0.4665562
## 2 0.1395257
## Party.fctr.All.X.expoTrans.rcv.glmnet
## 1 R
## 2 D
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## 1 0.5842026
## 2 0.1297518
## Party.fctr.All.X.expoTrans.rcv.glmnet.is.acc
## 1 TRUE
## 2 TRUE
## Party.fctr.All.X.expoTrans.rcv.glmnet.err
## 1 FALSE
## 2 FALSE
## Party.fctr.All.X.expoTrans.rcv.glmnet.err.abs
## 1 0.4157974
## 2 0.1297518
## Party.fctr.RFE.X.expoTrans.rcv.glmnet
## 1 R
## 2 D
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.prob
## 1 0.5842026
## 2 0.1297518
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.is.acc
## 1 TRUE
## 2 TRUE
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.err
## 1 FALSE
## 2 FALSE
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.err.abs
## 1 0.4157974
## 2 0.1297518
## Party.fctr.All.X.YeoJohnson.rcv.glmnet
## 1 D
## 2 D
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.prob
## 1 0.5292076
## 2 0.1298060
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.err.abs
## 1 0.4707924
## 2 0.1298060
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet
## 1 D
## 2 D
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## 1 0.5292076
## 2 0.1298060
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.err.abs
## 1 0.4707924
## 2 0.1298060
## Party.fctr.RFE.X..rcv.rpart Party.fctr.RFE.X..rcv.rpart.prob
## 1 R 0.6666667
## 2 D 0.1327078
## Party.fctr.RFE.X..rcv.rpart.is.acc Party.fctr.RFE.X..rcv.rpart.err
## 1 TRUE FALSE
## 2 TRUE FALSE
## Party.fctr.RFE.X..rcv.rpart.err.abs Party.fctr.RFE.X..rcv.glmnet
## 1 0.3333333 R
## 2 0.1327078 D
## Party.fctr.RFE.X..rcv.glmnet.prob Party.fctr.RFE.X..rcv.glmnet.is.acc
## 1 0.6034133 TRUE
## 2 0.1292298 TRUE
## Party.fctr.RFE.X..rcv.glmnet.err Party.fctr.RFE.X..rcv.glmnet.err.abs
## 1 FALSE 0.3965867
## 2 FALSE 0.1292298
## Party.fctr.All.X.conditionalX.rcv.glmnet
## 1 R
## 2 D
## Party.fctr.All.X.conditionalX.rcv.glmnet.prob
## 1 0.6034133
## 2 0.1292298
## Party.fctr.All.X.conditionalX.rcv.glmnet.is.acc
## 1 TRUE
## 2 TRUE
## Party.fctr.All.X.conditionalX.rcv.glmnet.err
## 1 FALSE
## 2 FALSE
## Party.fctr.All.X.conditionalX.rcv.glmnet.err.abs
## 1 0.3965867
## 2 0.1292298
## Party.fctr.All.X..rcv.glmnet Party.fctr.All.X..rcv.glmnet.prob
## 1 R 0.6034133
## 2 D 0.1292298
## Party.fctr.All.X..rcv.glmnet.is.acc Party.fctr.All.X..rcv.glmnet.err
## 1 TRUE FALSE
## 2 TRUE FALSE
## Party.fctr.All.X..rcv.glmnet.err.abs Party.fctr.Low.cor.X..rcv.glmnet
## 1 0.3965867 R
## 2 0.1292298 D
## Party.fctr.Low.cor.X..rcv.glmnet.prob
## 1 0.6034133
## 2 0.1292298
## Party.fctr.Low.cor.X..rcv.glmnet.is.acc
## 1 TRUE
## 2 TRUE
## Party.fctr.Low.cor.X..rcv.glmnet.err
## 1 FALSE
## 2 FALSE
## Party.fctr.Low.cor.X..rcv.glmnet.err.abs
## 1 0.3965867
## 2 0.1292298
## Party.fctr.RFE.X.conditionalX.rcv.glmnet
## 1 R
## 2 D
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.prob
## 1 0.6034133
## 2 0.1292298
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.is.acc
## 1 TRUE
## 2 TRUE
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.err
## 1 FALSE
## 2 FALSE
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.err.abs
## 1 0.3965867
## 2 0.1292298
## Party.fctr.All.X.zv.rcv.glmnet Party.fctr.All.X.zv.rcv.glmnet.prob
## 1 R 0.6034133
## 2 D 0.1292298
## Party.fctr.All.X.zv.rcv.glmnet.is.acc Party.fctr.All.X.zv.rcv.glmnet.err
## 1 TRUE FALSE
## 2 TRUE FALSE
## Party.fctr.All.X.zv.rcv.glmnet.err.abs Party.fctr.RFE.X.zv.rcv.glmnet
## 1 0.3965867 R
## 2 0.1292298 D
## Party.fctr.RFE.X.zv.rcv.glmnet.prob
## 1 0.6034133
## 2 0.1292298
## Party.fctr.RFE.X.zv.rcv.glmnet.is.acc Party.fctr.RFE.X.zv.rcv.glmnet.err
## 1 TRUE FALSE
## 2 TRUE FALSE
## Party.fctr.RFE.X.zv.rcv.glmnet.err.abs Party.fctr.RFE.X.scale.rcv.glmnet
## 1 0.3965867 R
## 2 0.1292298 D
## Party.fctr.RFE.X.scale.rcv.glmnet.prob
## 1 0.6034133
## 2 0.1292298
## Party.fctr.RFE.X.scale.rcv.glmnet.is.acc
## 1 TRUE
## 2 TRUE
## Party.fctr.RFE.X.scale.rcv.glmnet.err
## 1 FALSE
## 2 FALSE
## Party.fctr.RFE.X.scale.rcv.glmnet.err.abs
## 1 0.3965867
## 2 0.1292298
## Party.fctr.RFE.X.center.rcv.glmnet
## 1 R
## 2 D
## Party.fctr.RFE.X.center.rcv.glmnet.prob
## 1 0.6034133
## 2 0.1292298
## Party.fctr.RFE.X.center.rcv.glmnet.is.acc
## 1 TRUE
## 2 TRUE
## Party.fctr.RFE.X.center.rcv.glmnet.err
## 1 FALSE
## 2 FALSE
## Party.fctr.RFE.X.center.rcv.glmnet.err.abs
## 1 0.3965867
## 2 0.1292298
## Party.fctr.All.X.scale.rcv.glmnet Party.fctr.All.X.scale.rcv.glmnet.prob
## 1 R 0.6034133
## 2 D 0.1292298
## Party.fctr.All.X.scale.rcv.glmnet.is.acc
## 1 TRUE
## 2 TRUE
## Party.fctr.All.X.scale.rcv.glmnet.err
## 1 FALSE
## 2 FALSE
## Party.fctr.All.X.scale.rcv.glmnet.err.abs
## 1 0.3965867
## 2 0.1292298
## Party.fctr.All.X.center.rcv.glmnet
## 1 R
## 2 D
## Party.fctr.All.X.center.rcv.glmnet.prob
## 1 0.6034133
## 2 0.1292298
## Party.fctr.All.X.center.rcv.glmnet.is.acc
## 1 TRUE
## 2 TRUE
## Party.fctr.All.X.center.rcv.glmnet.err
## 1 FALSE
## 2 FALSE
## Party.fctr.All.X.center.rcv.glmnet.err.abs
## 1 0.3965867
## 2 0.1292298
## Party.fctr.RFE.X.range.rcv.glmnet Party.fctr.RFE.X.range.rcv.glmnet.prob
## 1 R 0.6034133
## 2 D 0.1292298
## Party.fctr.RFE.X.range.rcv.glmnet.is.acc
## 1 TRUE
## 2 TRUE
## Party.fctr.RFE.X.range.rcv.glmnet.err
## 1 FALSE
## 2 FALSE
## Party.fctr.RFE.X.range.rcv.glmnet.err.abs
## 1 0.3965867
## 2 0.1292298
## Party.fctr.RFE.X.BoxCox.rcv.glmnet
## 1 R
## 2 D
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.prob
## 1 0.6034133
## 2 0.1292298
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.is.acc
## 1 TRUE
## 2 TRUE
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.err
## 1 FALSE
## 2 FALSE
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.err.abs
## 1 0.3965867
## 2 0.1292298
## Party.fctr.All.X.range.rcv.glmnet Party.fctr.All.X.range.rcv.glmnet.prob
## 1 R 0.6034133
## 2 D 0.1292298
## Party.fctr.All.X.range.rcv.glmnet.is.acc
## 1 TRUE
## 2 TRUE
## Party.fctr.All.X.range.rcv.glmnet.err
## 1 FALSE
## 2 FALSE
## Party.fctr.All.X.range.rcv.glmnet.err.abs
## 1 0.3965867
## 2 0.1292298
## Party.fctr.All.X.BoxCox.rcv.glmnet
## 1 R
## 2 D
## Party.fctr.All.X.BoxCox.rcv.glmnet.prob
## 1 0.6034133
## 2 0.1292298
## Party.fctr.All.X.BoxCox.rcv.glmnet.is.acc
## 1 TRUE
## 2 TRUE
## Party.fctr.All.X.BoxCox.rcv.glmnet.err
## 1 FALSE
## 2 FALSE
## Party.fctr.All.X.BoxCox.rcv.glmnet.err.abs
## 1 0.3965867
## 2 0.1292298
## Party.fctr.RFE.X.center.scale.rcv.glmnet
## 1 R
## 2 D
## Party.fctr.RFE.X.center.scale.rcv.glmnet.prob
## 1 0.6034133
## 2 0.1292298
## Party.fctr.RFE.X.center.scale.rcv.glmnet.is.acc
## 1 TRUE
## 2 TRUE
## Party.fctr.RFE.X.center.scale.rcv.glmnet.err
## 1 FALSE
## 2 FALSE
## Party.fctr.RFE.X.center.scale.rcv.glmnet.err.abs
## 1 0.3965867
## 2 0.1292298
## Party.fctr.All.X.center.scale.rcv.glmnet
## 1 R
## 2 D
## Party.fctr.All.X.center.scale.rcv.glmnet.prob
## 1 0.6034133
## 2 0.1292298
## Party.fctr.All.X.center.scale.rcv.glmnet.is.acc
## 1 TRUE
## 2 TRUE
## Party.fctr.All.X.center.scale.rcv.glmnet.err
## 1 FALSE
## 2 FALSE
## Party.fctr.All.X.center.scale.rcv.glmnet.err.abs
## 1 0.3965867
## 2 0.1292298
## Party.fctr.All.X.zv.pca.rcv.glmnet
## 1 D
## 2 D
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## 1 0.4607583
## 2 0.2024206
## Party.fctr.All.X.zv.pca.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.All.X.zv.pca.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.All.X.zv.pca.rcv.glmnet.err.abs Party.fctr.RFE.X..rcv.gbm
## 1 0.5392417 D
## 2 0.2024206 D
## Party.fctr.RFE.X..rcv.gbm.prob Party.fctr.RFE.X..rcv.gbm.is.acc
## 1 0.5763494 FALSE
## 2 0.1257216 TRUE
## Party.fctr.RFE.X..rcv.gbm.err Party.fctr.RFE.X..rcv.gbm.err.abs
## 1 TRUE 0.4236506
## 2 FALSE 0.1257216
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet
## 1 R
## 2 D
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.prob
## 1 0.5922596
## 2 0.1782018
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.is.acc
## 1 TRUE
## 2 TRUE
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.err
## 1 FALSE
## 2 FALSE
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.err.abs
## 1 0.4077404
## 2 0.1782018
## Party.fctr.RFE.X..rcv.earth Party.fctr.RFE.X..rcv.earth.prob
## 1 R 0.6245383
## 2 D 0.1040106
## Party.fctr.RFE.X..rcv.earth.is.acc Party.fctr.RFE.X..rcv.earth.err
## 1 TRUE FALSE
## 2 TRUE FALSE
## Party.fctr.RFE.X..rcv.earth.err.abs Party.fctr.RFE.X..rcv.glm
## 1 0.3754617 D
## 2 0.1040106 D
## Party.fctr.RFE.X..rcv.glm.prob Party.fctr.RFE.X..rcv.glm.is.acc
## 1 0.4070197 FALSE
## 2 0.1689494 TRUE
## Party.fctr.RFE.X..rcv.glm.err Party.fctr.RFE.X..rcv.glm.err.abs
## 1 TRUE 0.5929803
## 2 FALSE 0.1689494
## Party.fctr.All.X..rcv.glm Party.fctr.All.X..rcv.glm.prob
## 1 D 0.4054202
## 2 D 0.1992335
## Party.fctr.All.X..rcv.glm.is.acc Party.fctr.All.X..rcv.glm.err
## 1 FALSE TRUE
## 2 TRUE FALSE
## Party.fctr.All.X..rcv.glm.err.abs Party.fctr.RFE.X..rcv.rf
## 1 0.5945798 R
## 2 0.1992335 D
## Party.fctr.RFE.X..rcv.rf.prob Party.fctr.RFE.X..rcv.rf.is.acc
## 1 0.842 TRUE
## 2 0.070 TRUE
## Party.fctr.RFE.X..rcv.rf.err Party.fctr.RFE.X..rcv.rf.err.abs
## 1 FALSE 0.158
## 2 FALSE 0.070
## Party.fctr.RFE.X..rcv.avNNet Party.fctr.RFE.X..rcv.avNNet.prob
## 1 R 0.6628249
## 2 D 0.0839713
## Party.fctr.RFE.X..rcv.avNNet.is.acc Party.fctr.RFE.X..rcv.avNNet.err
## 1 TRUE FALSE
## 2 TRUE FALSE
## Party.fctr.RFE.X..rcv.avNNet.err.abs Party.fctr.RFE.X..rcv.nnet
## 1 0.3371751 D
## 2 0.0839713 D
## Party.fctr.RFE.X..rcv.nnet.prob Party.fctr.RFE.X..rcv.nnet.is.acc
## 1 0.5221793 FALSE
## 2 0.1829669 TRUE
## Party.fctr.RFE.X..rcv.nnet.err Party.fctr.RFE.X..rcv.nnet.err.abs
## 1 TRUE 0.4778207
## 2 FALSE 0.1829669
## Party.fctr.RFE.X.ica.rcv.glmnet Party.fctr.RFE.X.ica.rcv.glmnet.prob
## 1 R 0.5526477
## 2 D 0.3753304
## Party.fctr.RFE.X.ica.rcv.glmnet.is.acc
## 1 TRUE
## 2 TRUE
## Party.fctr.RFE.X.ica.rcv.glmnet.err
## 1 FALSE
## 2 FALSE
## Party.fctr.RFE.X.ica.rcv.glmnet.err.abs Party.fctr.All.X.ica.rcv.glmnet
## 1 0.4473523 D
## 2 0.3753304 D
## Party.fctr.All.X.ica.rcv.glmnet.prob
## 1 0.5494591
## 2 0.3806985
## Party.fctr.All.X.ica.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.All.X.ica.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.All.X.ica.rcv.glmnet.err.abs
## 1 0.4505409
## 2 0.3806985
## Party.fctr.Interact.High.cor.Y..rcv.glmnet
## 1 D
## 2 D
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.prob
## 1 0.5892031
## 2 0.1572367
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.err.abs
## 1 0.4107969
## 2 0.1572367
## Party.fctr.Ensemble.auto.2..rcv.glmnet.prob
## 1 0.4774278
## 2 0.1092697
## Party.fctr.Ensemble.auto.2..rcv.glmnet
## 1 D
## 2 D
## Party.fctr.Ensemble.auto.2..rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.Ensemble.auto.2..rcv.glmnet.err.abs
## 1 0.5225722
## 2 0.1092697
## Party.fctr.Ensemble.auto.2..rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.Final.RFE.X.Inc..rcv.bagEarth.prob
## 1 0.5354627
## 2 0.1447204
## Party.fctr.Final.RFE.X.Inc..rcv.bagEarth
## 1 D
## 2 D
## Party.fctr.Final.RFE.X.Inc..rcv.bagEarth.err
## 1 TRUE
## 2 FALSE
## Party.fctr.Final.RFE.X.Inc..rcv.bagEarth.err.abs
## 1 0.4645373
## 2 0.1447204
## Party.fctr.Final.RFE.X.Inc..rcv.bagEarth.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.Final.All.X.ica.rcv.glmnet.prob
## 1 0.5494591
## 2 0.3806985
## Party.fctr.Final.All.X.ica.rcv.glmnet
## 1 D
## 2 D
## Party.fctr.Final.All.X.ica.rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.Final.All.X.ica.rcv.glmnet.err.abs
## 1 0.4505409
## 2 0.3806985
## Party.fctr.Final.All.X.ica.rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.Final.Ensemble.auto.2..rcv.glmnet.prob
## 1 0.5315432
## 2 0.1283252
## Party.fctr.Final.Ensemble.auto.2..rcv.glmnet
## 1 D
## 2 D
## Party.fctr.Final.Ensemble.auto.2..rcv.glmnet.err
## 1 TRUE
## 2 FALSE
## Party.fctr.Final.Ensemble.auto.2..rcv.glmnet.err.abs
## 1 0.4684568
## 2 0.1283252
## Party.fctr.Final.Ensemble.auto.2..rcv.glmnet.is.acc
## 1 FALSE
## 2 TRUE
## Party.fctr.Final.Ensemble.auto.2..rcv.glmnet.accurate
## 1 FALSE
## 2 TRUE
## Party.fctr.Final.Ensemble.auto.2..rcv.glmnet.error .label
## 1 -0.1184568 2492
## 2 0.0000000 1798
## [1] "Inaccurate: "
## USER_ID Party.fctr Party.fctr.RFE.X.Inc..rcv.bagEarth
## 1 626 R D
## 2 1236 R D
## 3 468 R D
## 4 3895 R D
## 5 451 R D
## 6 4715 R D
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 1 0.08310805
## 2 0.08610248
## 3 0.09317883
## 4 0.09701839
## 5 0.10419995
## 6 0.11198014
## Party.fctr.RFE.X.Inc..rcv.bagEarth.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.RFE.X.Inc..rcv.bagEarth.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.RFE.X.Inc..rcv.bagEarth.err.abs
## 1 0.9168919
## 2 0.9138975
## 3 0.9068212
## 4 0.9029816
## 5 0.8958000
## 6 0.8880199
## Party.fctr.RFE.X..rcv.bagEarth Party.fctr.RFE.X..rcv.bagEarth.prob
## 1 D 0.05429805
## 2 D 0.03756575
## 3 D 0.04243228
## 4 D 0.03131226
## 5 D 0.05752716
## 6 D 0.08312278
## Party.fctr.RFE.X..rcv.bagEarth.is.acc Party.fctr.RFE.X..rcv.bagEarth.err
## 1 FALSE TRUE
## 2 FALSE TRUE
## 3 FALSE TRUE
## 4 FALSE TRUE
## 5 FALSE TRUE
## 6 FALSE TRUE
## Party.fctr.RFE.X..rcv.bagEarth.err.abs
## 1 0.9457019
## 2 0.9624342
## 3 0.9575677
## 4 0.9686877
## 5 0.9424728
## 6 0.9168772
## Party.fctr.RFE.X.zv.pca.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.prob
## 1 0.07256962
## 2 0.14415487
## 3 0.07477716
## 4 0.06556290
## 5 0.13048428
## 6 0.17301073
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.err.abs
## 1 0.9274304
## 2 0.8558451
## 3 0.9252228
## 4 0.9344371
## 5 0.8695157
## 6 0.8269893
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## 1 0.1084418
## 2 0.1222990
## 3 0.1102796
## 4 0.1172416
## 5 0.1161760
## 6 0.1510613
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.err.abs
## 1 0.8915582
## 2 0.8777010
## 3 0.8897204
## 4 0.8827584
## 5 0.8838240
## 6 0.8489387
## Party.fctr.All.X.spatialSign.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.All.X.spatialSign.rcv.glmnet.prob
## 1 0.13493569
## 2 0.08077740
## 3 0.12514092
## 4 0.07604966
## 5 0.12157711
## 6 0.13014204
## Party.fctr.All.X.spatialSign.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.All.X.spatialSign.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.All.X.spatialSign.rcv.glmnet.err.abs
## 1 0.8650643
## 2 0.9192226
## 3 0.8748591
## 4 0.9239503
## 5 0.8784229
## 6 0.8698580
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.prob
## 1 0.1099431
## 2 0.1231948
## 3 0.1029184
## 4 0.1074752
## 5 0.1179969
## 6 0.1530509
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.err.abs
## 1 0.8900569
## 2 0.8768052
## 3 0.8970816
## 4 0.8925248
## 5 0.8820031
## 6 0.8469491
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.prob
## 1 0.08839564
## 2 0.09376318
## 3 0.08595588
## 4 0.09115331
## 5 0.09500306
## 6 0.12567192
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.err.abs
## 1 0.9116044
## 2 0.9062368
## 3 0.9140441
## 4 0.9088467
## 5 0.9049969
## 6 0.8743281
## Party.fctr.RFE.X.spatialSign.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## 1 0.13560265
## 2 0.08095251
## 3 0.12105058
## 4 0.07198825
## 5 0.12229543
## 6 0.13092250
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.err.abs
## 1 0.8643974
## 2 0.9190475
## 3 0.8789494
## 4 0.9280118
## 5 0.8777046
## 6 0.8690775
## Party.fctr.All.X.nzv.rcv.glmnet Party.fctr.All.X.nzv.rcv.glmnet.prob
## 1 D 0.09349482
## 2 D 0.13278055
## 3 D 0.08945309
## 4 D 0.11830363
## 5 D 0.09804767
## 6 D 0.14620520
## Party.fctr.All.X.nzv.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.All.X.nzv.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.All.X.nzv.rcv.glmnet.err.abs Party.fctr.RFE.X.nzv.rcv.glmnet
## 1 0.9065052 D
## 2 0.8672194 D
## 3 0.9105469 D
## 4 0.8816964 D
## 5 0.9019523 D
## 6 0.8537948 D
## Party.fctr.RFE.X.nzv.rcv.glmnet.prob
## 1 0.09413719
## 2 0.13339084
## 3 0.08699289
## 4 0.11503559
## 5 0.09916363
## 6 0.14718798
## Party.fctr.RFE.X.nzv.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.RFE.X.nzv.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.RFE.X.nzv.rcv.glmnet.err.abs
## 1 0.9058628
## 2 0.8666092
## 3 0.9130071
## 4 0.8849644
## 5 0.9008364
## 6 0.8528120
## Party.fctr.All.X.expoTrans.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## 1 0.09914476
## 2 0.08352619
## 3 0.10791786
## 4 0.06917972
## 5 0.11191494
## 6 0.12854985
## Party.fctr.All.X.expoTrans.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.All.X.expoTrans.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.All.X.expoTrans.rcv.glmnet.err.abs
## 1 0.9008552
## 2 0.9164738
## 3 0.8920821
## 4 0.9308203
## 5 0.8880851
## 6 0.8714502
## Party.fctr.RFE.X.expoTrans.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.prob
## 1 0.09914476
## 2 0.08352619
## 3 0.10791786
## 4 0.06917972
## 5 0.11191494
## 6 0.12854985
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.err.abs
## 1 0.9008552
## 2 0.9164738
## 3 0.8920821
## 4 0.9308203
## 5 0.8880851
## 6 0.8714502
## Party.fctr.All.X.YeoJohnson.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.prob
## 1 0.09922106
## 2 0.08355202
## 3 0.10799757
## 4 0.06922470
## 5 0.11199083
## 6 0.12851770
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.err.abs
## 1 0.9007789
## 2 0.9164480
## 3 0.8920024
## 4 0.9307753
## 5 0.8880092
## 6 0.8714823
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## 1 0.09922106
## 2 0.08355202
## 3 0.10799757
## 4 0.06922470
## 5 0.11199083
## 6 0.12851770
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.err.abs
## 1 0.9007789
## 2 0.9164480
## 3 0.8920024
## 4 0.9307753
## 5 0.8880092
## 6 0.8714823
## Party.fctr.RFE.X..rcv.rpart Party.fctr.RFE.X..rcv.rpart.prob
## 1 D 0.1327078
## 2 D 0.1327078
## 3 D 0.1327078
## 4 D 0.1327078
## 5 D 0.1327078
## 6 D 0.1327078
## Party.fctr.RFE.X..rcv.rpart.is.acc Party.fctr.RFE.X..rcv.rpart.err
## 1 FALSE TRUE
## 2 FALSE TRUE
## 3 FALSE TRUE
## 4 FALSE TRUE
## 5 FALSE TRUE
## 6 FALSE TRUE
## Party.fctr.RFE.X..rcv.rpart.err.abs Party.fctr.RFE.X..rcv.glmnet
## 1 0.8672922 D
## 2 0.8672922 D
## 3 0.8672922 D
## 4 0.8672922 D
## 5 0.8672922 D
## 6 0.8672922 D
## Party.fctr.RFE.X..rcv.glmnet.prob Party.fctr.RFE.X..rcv.glmnet.is.acc
## 1 0.09865842 FALSE
## 2 0.08397483 FALSE
## 3 0.10237246 FALSE
## 4 0.06723964 FALSE
## 5 0.11159137 FALSE
## 6 0.12911017 FALSE
## Party.fctr.RFE.X..rcv.glmnet.err Party.fctr.RFE.X..rcv.glmnet.err.abs
## 1 TRUE 0.9013416
## 2 TRUE 0.9160252
## 3 TRUE 0.8976275
## 4 TRUE 0.9327604
## 5 TRUE 0.8884086
## 6 TRUE 0.8708898
## Party.fctr.All.X.conditionalX.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.All.X.conditionalX.rcv.glmnet.prob
## 1 0.09865842
## 2 0.08397483
## 3 0.10237246
## 4 0.06723964
## 5 0.11159137
## 6 0.12911017
## Party.fctr.All.X.conditionalX.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.All.X.conditionalX.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.All.X.conditionalX.rcv.glmnet.err.abs
## 1 0.9013416
## 2 0.9160252
## 3 0.8976275
## 4 0.9327604
## 5 0.8884086
## 6 0.8708898
## Party.fctr.All.X..rcv.glmnet Party.fctr.All.X..rcv.glmnet.prob
## 1 D 0.09865842
## 2 D 0.08397483
## 3 D 0.10237246
## 4 D 0.06723964
## 5 D 0.11159137
## 6 D 0.12911017
## Party.fctr.All.X..rcv.glmnet.is.acc Party.fctr.All.X..rcv.glmnet.err
## 1 FALSE TRUE
## 2 FALSE TRUE
## 3 FALSE TRUE
## 4 FALSE TRUE
## 5 FALSE TRUE
## 6 FALSE TRUE
## Party.fctr.All.X..rcv.glmnet.err.abs Party.fctr.Low.cor.X..rcv.glmnet
## 1 0.9013416 D
## 2 0.9160252 D
## 3 0.8976275 D
## 4 0.9327604 D
## 5 0.8884086 D
## 6 0.8708898 D
## Party.fctr.Low.cor.X..rcv.glmnet.prob
## 1 0.09865842
## 2 0.08397483
## 3 0.10237246
## 4 0.06723964
## 5 0.11159137
## 6 0.12911017
## Party.fctr.Low.cor.X..rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.Low.cor.X..rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.Low.cor.X..rcv.glmnet.err.abs
## 1 0.9013416
## 2 0.9160252
## 3 0.8976275
## 4 0.9327604
## 5 0.8884086
## 6 0.8708898
## Party.fctr.RFE.X.conditionalX.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.prob
## 1 0.09865842
## 2 0.08397483
## 3 0.10237246
## 4 0.06723964
## 5 0.11159137
## 6 0.12911017
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.err.abs
## 1 0.9013416
## 2 0.9160252
## 3 0.8976275
## 4 0.9327604
## 5 0.8884086
## 6 0.8708898
## Party.fctr.All.X.zv.rcv.glmnet Party.fctr.All.X.zv.rcv.glmnet.prob
## 1 D 0.09865842
## 2 D 0.08397483
## 3 D 0.10237246
## 4 D 0.06723964
## 5 D 0.11159137
## 6 D 0.12911017
## Party.fctr.All.X.zv.rcv.glmnet.is.acc Party.fctr.All.X.zv.rcv.glmnet.err
## 1 FALSE TRUE
## 2 FALSE TRUE
## 3 FALSE TRUE
## 4 FALSE TRUE
## 5 FALSE TRUE
## 6 FALSE TRUE
## Party.fctr.All.X.zv.rcv.glmnet.err.abs Party.fctr.RFE.X.zv.rcv.glmnet
## 1 0.9013416 D
## 2 0.9160252 D
## 3 0.8976275 D
## 4 0.9327604 D
## 5 0.8884086 D
## 6 0.8708898 D
## Party.fctr.RFE.X.zv.rcv.glmnet.prob
## 1 0.09865842
## 2 0.08397483
## 3 0.10237246
## 4 0.06723964
## 5 0.11159137
## 6 0.12911017
## Party.fctr.RFE.X.zv.rcv.glmnet.is.acc Party.fctr.RFE.X.zv.rcv.glmnet.err
## 1 FALSE TRUE
## 2 FALSE TRUE
## 3 FALSE TRUE
## 4 FALSE TRUE
## 5 FALSE TRUE
## 6 FALSE TRUE
## Party.fctr.RFE.X.zv.rcv.glmnet.err.abs Party.fctr.RFE.X.scale.rcv.glmnet
## 1 0.9013416 D
## 2 0.9160252 D
## 3 0.8976275 D
## 4 0.9327604 D
## 5 0.8884086 D
## 6 0.8708898 D
## Party.fctr.RFE.X.scale.rcv.glmnet.prob
## 1 0.09865842
## 2 0.08397483
## 3 0.10237246
## 4 0.06723964
## 5 0.11159137
## 6 0.12911017
## Party.fctr.RFE.X.scale.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.RFE.X.scale.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.RFE.X.scale.rcv.glmnet.err.abs
## 1 0.9013416
## 2 0.9160252
## 3 0.8976275
## 4 0.9327604
## 5 0.8884086
## 6 0.8708898
## Party.fctr.RFE.X.center.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.RFE.X.center.rcv.glmnet.prob
## 1 0.09865842
## 2 0.08397483
## 3 0.10237246
## 4 0.06723964
## 5 0.11159137
## 6 0.12911017
## Party.fctr.RFE.X.center.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.RFE.X.center.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.RFE.X.center.rcv.glmnet.err.abs
## 1 0.9013416
## 2 0.9160252
## 3 0.8976275
## 4 0.9327604
## 5 0.8884086
## 6 0.8708898
## Party.fctr.All.X.scale.rcv.glmnet Party.fctr.All.X.scale.rcv.glmnet.prob
## 1 D 0.09865842
## 2 D 0.08397483
## 3 D 0.10237246
## 4 D 0.06723964
## 5 D 0.11159137
## 6 D 0.12911017
## Party.fctr.All.X.scale.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.All.X.scale.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.All.X.scale.rcv.glmnet.err.abs
## 1 0.9013416
## 2 0.9160252
## 3 0.8976275
## 4 0.9327604
## 5 0.8884086
## 6 0.8708898
## Party.fctr.All.X.center.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.All.X.center.rcv.glmnet.prob
## 1 0.09865842
## 2 0.08397483
## 3 0.10237246
## 4 0.06723964
## 5 0.11159137
## 6 0.12911017
## Party.fctr.All.X.center.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.All.X.center.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.All.X.center.rcv.glmnet.err.abs
## 1 0.9013416
## 2 0.9160252
## 3 0.8976275
## 4 0.9327604
## 5 0.8884086
## 6 0.8708898
## Party.fctr.RFE.X.range.rcv.glmnet Party.fctr.RFE.X.range.rcv.glmnet.prob
## 1 D 0.09865842
## 2 D 0.08397483
## 3 D 0.10237246
## 4 D 0.06723964
## 5 D 0.11159137
## 6 D 0.12911017
## Party.fctr.RFE.X.range.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.RFE.X.range.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.RFE.X.range.rcv.glmnet.err.abs
## 1 0.9013416
## 2 0.9160252
## 3 0.8976275
## 4 0.9327604
## 5 0.8884086
## 6 0.8708898
## Party.fctr.RFE.X.BoxCox.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.prob
## 1 0.09865842
## 2 0.08397483
## 3 0.10237246
## 4 0.06723964
## 5 0.11159137
## 6 0.12911017
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.err.abs
## 1 0.9013416
## 2 0.9160252
## 3 0.8976275
## 4 0.9327604
## 5 0.8884086
## 6 0.8708898
## Party.fctr.All.X.range.rcv.glmnet Party.fctr.All.X.range.rcv.glmnet.prob
## 1 D 0.09865842
## 2 D 0.08397483
## 3 D 0.10237246
## 4 D 0.06723964
## 5 D 0.11159137
## 6 D 0.12911017
## Party.fctr.All.X.range.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.All.X.range.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.All.X.range.rcv.glmnet.err.abs
## 1 0.9013416
## 2 0.9160252
## 3 0.8976275
## 4 0.9327604
## 5 0.8884086
## 6 0.8708898
## Party.fctr.All.X.BoxCox.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.All.X.BoxCox.rcv.glmnet.prob
## 1 0.09865842
## 2 0.08397483
## 3 0.10237246
## 4 0.06723964
## 5 0.11159137
## 6 0.12911017
## Party.fctr.All.X.BoxCox.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.All.X.BoxCox.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.All.X.BoxCox.rcv.glmnet.err.abs
## 1 0.9013416
## 2 0.9160252
## 3 0.8976275
## 4 0.9327604
## 5 0.8884086
## 6 0.8708898
## Party.fctr.RFE.X.center.scale.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.RFE.X.center.scale.rcv.glmnet.prob
## 1 0.09865842
## 2 0.08397483
## 3 0.10237246
## 4 0.06723964
## 5 0.11159137
## 6 0.12911017
## Party.fctr.RFE.X.center.scale.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.RFE.X.center.scale.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.RFE.X.center.scale.rcv.glmnet.err.abs
## 1 0.9013416
## 2 0.9160252
## 3 0.8976275
## 4 0.9327604
## 5 0.8884086
## 6 0.8708898
## Party.fctr.All.X.center.scale.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.All.X.center.scale.rcv.glmnet.prob
## 1 0.09865842
## 2 0.08397483
## 3 0.10237246
## 4 0.06723964
## 5 0.11159137
## 6 0.12911017
## Party.fctr.All.X.center.scale.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.All.X.center.scale.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.All.X.center.scale.rcv.glmnet.err.abs
## 1 0.9013416
## 2 0.9160252
## 3 0.8976275
## 4 0.9327604
## 5 0.8884086
## 6 0.8708898
## Party.fctr.All.X.zv.pca.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## 1 0.08379167
## 2 0.12887750
## 3 0.07930931
## 4 0.08264309
## 5 0.12085734
## 6 0.16475530
## Party.fctr.All.X.zv.pca.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.All.X.zv.pca.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.All.X.zv.pca.rcv.glmnet.err.abs Party.fctr.RFE.X..rcv.gbm
## 1 0.9162083 D
## 2 0.8711225 D
## 3 0.9206907 D
## 4 0.9173569 D
## 5 0.8791427 D
## 6 0.8352447 D
## Party.fctr.RFE.X..rcv.gbm.prob Party.fctr.RFE.X..rcv.gbm.is.acc
## 1 0.11057774 FALSE
## 2 0.08547744 FALSE
## 3 0.10116155 FALSE
## 4 0.06666800 FALSE
## 5 0.10193145 FALSE
## 6 0.14065050 FALSE
## Party.fctr.RFE.X..rcv.gbm.err Party.fctr.RFE.X..rcv.gbm.err.abs
## 1 TRUE 0.8894223
## 2 TRUE 0.9145226
## 3 TRUE 0.8988384
## 4 TRUE 0.9333320
## 5 TRUE 0.8980685
## 6 TRUE 0.8593495
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.prob
## 1 0.1777031
## 2 0.1654979
## 3 0.1818161
## 4 0.1575228
## 5 0.1445018
## 6 0.1617590
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.err.abs
## 1 0.8222969
## 2 0.8345021
## 3 0.8181839
## 4 0.8424772
## 5 0.8554982
## 6 0.8382410
## Party.fctr.RFE.X..rcv.earth Party.fctr.RFE.X..rcv.earth.prob
## 1 D 0.05976360
## 2 D 0.04754454
## 3 D 0.07897377
## 4 D 0.04619123
## 5 D 0.10257130
## 6 D 0.12377526
## Party.fctr.RFE.X..rcv.earth.is.acc Party.fctr.RFE.X..rcv.earth.err
## 1 FALSE TRUE
## 2 FALSE TRUE
## 3 FALSE TRUE
## 4 FALSE TRUE
## 5 FALSE TRUE
## 6 FALSE TRUE
## Party.fctr.RFE.X..rcv.earth.err.abs Party.fctr.RFE.X..rcv.glm
## 1 0.9402364 D
## 2 0.9524555 D
## 3 0.9210262 D
## 4 0.9538088 D
## 5 0.8974287 D
## 6 0.8762247 D
## Party.fctr.RFE.X..rcv.glm.prob Party.fctr.RFE.X..rcv.glm.is.acc
## 1 0.03621919 FALSE
## 2 0.01953030 FALSE
## 3 0.01390992 FALSE
## 4 0.06644046 FALSE
## 5 0.02148219 FALSE
## 6 0.07522601 FALSE
## Party.fctr.RFE.X..rcv.glm.err Party.fctr.RFE.X..rcv.glm.err.abs
## 1 TRUE 0.9637808
## 2 TRUE 0.9804697
## 3 TRUE 0.9860901
## 4 TRUE 0.9335595
## 5 TRUE 0.9785178
## 6 TRUE 0.9247740
## Party.fctr.All.X..rcv.glm Party.fctr.All.X..rcv.glm.prob
## 1 D 0.03338796
## 2 D 0.01900093
## 3 D 0.01681927
## 4 D 0.08520718
## 5 D 0.02091163
## 6 D 0.07426748
## Party.fctr.All.X..rcv.glm.is.acc Party.fctr.All.X..rcv.glm.err
## 1 FALSE TRUE
## 2 FALSE TRUE
## 3 FALSE TRUE
## 4 FALSE TRUE
## 5 FALSE TRUE
## 6 FALSE TRUE
## Party.fctr.All.X..rcv.glm.err.abs Party.fctr.RFE.X..rcv.rf
## 1 0.9666120 R
## 2 0.9809991 D
## 3 0.9831807 D
## 4 0.9147928 D
## 5 0.9790884 R
## 6 0.9257325 D
## Party.fctr.RFE.X..rcv.rf.prob Party.fctr.RFE.X..rcv.rf.is.acc
## 1 0.688 TRUE
## 2 0.130 FALSE
## 3 0.126 FALSE
## 4 0.144 FALSE
## 5 0.694 TRUE
## 6 0.136 FALSE
## Party.fctr.RFE.X..rcv.rf.err Party.fctr.RFE.X..rcv.rf.err.abs
## 1 FALSE 0.312
## 2 TRUE 0.870
## 3 TRUE 0.874
## 4 TRUE 0.856
## 5 FALSE 0.306
## 6 TRUE 0.864
## Party.fctr.RFE.X..rcv.avNNet Party.fctr.RFE.X..rcv.avNNet.prob
## 1 D 0.1699310
## 2 D 0.0839713
## 3 D 0.0839713
## 4 D 0.0839713
## 5 D 0.1531859
## 6 D 0.1019182
## Party.fctr.RFE.X..rcv.avNNet.is.acc Party.fctr.RFE.X..rcv.avNNet.err
## 1 FALSE TRUE
## 2 FALSE TRUE
## 3 FALSE TRUE
## 4 FALSE TRUE
## 5 FALSE TRUE
## 6 FALSE TRUE
## Party.fctr.RFE.X..rcv.avNNet.err.abs Party.fctr.RFE.X..rcv.nnet
## 1 0.8300690 D
## 2 0.9160287 D
## 3 0.9160287 D
## 4 0.9160287 D
## 5 0.8468141 D
## 6 0.8980818 D
## Party.fctr.RFE.X..rcv.nnet.prob Party.fctr.RFE.X..rcv.nnet.is.acc
## 1 0.1826732 FALSE
## 2 0.1826730 FALSE
## 3 0.1826730 FALSE
## 4 0.1826738 FALSE
## 5 0.1826730 FALSE
## 6 0.1826772 FALSE
## Party.fctr.RFE.X..rcv.nnet.err Party.fctr.RFE.X..rcv.nnet.err.abs
## 1 TRUE 0.8173268
## 2 TRUE 0.8173270
## 3 TRUE 0.8173270
## 4 TRUE 0.8173262
## 5 TRUE 0.8173270
## 6 TRUE 0.8173228
## Party.fctr.RFE.X.ica.rcv.glmnet Party.fctr.RFE.X.ica.rcv.glmnet.prob
## 1 D 0.4580454
## 2 D 0.3743749
## 3 D 0.4035507
## 4 D 0.4367883
## 5 D 0.4052682
## 6 D 0.4439758
## Party.fctr.RFE.X.ica.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.RFE.X.ica.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.RFE.X.ica.rcv.glmnet.err.abs Party.fctr.All.X.ica.rcv.glmnet
## 1 0.5419546 D
## 2 0.6256251 D
## 3 0.5964493 D
## 4 0.5632117 D
## 5 0.5947318 D
## 6 0.5560242 D
## Party.fctr.All.X.ica.rcv.glmnet.prob
## 1 0.4596169
## 2 0.3795166
## 3 0.3966073
## 4 0.4345821
## 5 0.4061550
## 6 0.4378205
## Party.fctr.All.X.ica.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.All.X.ica.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.All.X.ica.rcv.glmnet.err.abs
## 1 0.5403831
## 2 0.6204834
## 3 0.6033927
## 4 0.5654179
## 5 0.5938450
## 6 0.5621795
## Party.fctr.Interact.High.cor.Y..rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.prob
## 1 0.08107864
## 2 0.13715343
## 3 0.11860055
## 4 0.15979667
## 5 0.18304388
## 6 0.05425116
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.err.abs
## 1 0.9189214
## 2 0.8628466
## 3 0.8813995
## 4 0.8402033
## 5 0.8169561
## 6 0.9457488
## Party.fctr.Ensemble.auto.2..rcv.glmnet.prob
## 1 0.08286439
## 2 NA
## 3 NA
## 4 NA
## 5 0.08756964
## 6 NA
## Party.fctr.Ensemble.auto.2..rcv.glmnet
## 1 D
## 2 <NA>
## 3 <NA>
## 4 <NA>
## 5 D
## 6 <NA>
## Party.fctr.Ensemble.auto.2..rcv.glmnet.err
## 1 TRUE
## 2 NA
## 3 NA
## 4 NA
## 5 TRUE
## 6 NA
## Party.fctr.Ensemble.auto.2..rcv.glmnet.err.abs
## 1 0.9171356
## 2 NA
## 3 NA
## 4 NA
## 5 0.9124304
## 6 NA
## Party.fctr.Ensemble.auto.2..rcv.glmnet.is.acc
## 1 FALSE
## 2 NA
## 3 NA
## 4 NA
## 5 FALSE
## 6 NA
## Party.fctr.Final.RFE.X.Inc..rcv.bagEarth.prob
## 1 0.08310805
## 2 0.08610248
## 3 0.09317883
## 4 0.09701839
## 5 0.10419995
## 6 0.11198014
## Party.fctr.Final.RFE.X.Inc..rcv.bagEarth
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.Final.RFE.X.Inc..rcv.bagEarth.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.Final.RFE.X.Inc..rcv.bagEarth.err.abs
## 1 0.9168919
## 2 0.9138975
## 3 0.9068212
## 4 0.9029816
## 5 0.8958000
## 6 0.8880199
## Party.fctr.Final.RFE.X.Inc..rcv.bagEarth.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.Final.All.X.ica.rcv.glmnet.prob
## 1 0.4596169
## 2 0.3795166
## 3 0.3966073
## 4 0.4345821
## 5 0.4061550
## 6 0.4378205
## Party.fctr.Final.All.X.ica.rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.Final.All.X.ica.rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.Final.All.X.ica.rcv.glmnet.err.abs
## 1 0.5403831
## 2 0.6204834
## 3 0.6033927
## 4 0.5654179
## 5 0.5938450
## 6 0.5621795
## Party.fctr.Final.All.X.ica.rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.Final.Ensemble.auto.2..rcv.glmnet.prob
## 1 0.09163359
## 2 0.09664980
## 3 0.09925963
## 4 0.09933112
## 5 0.10429225
## 6 0.10671234
## Party.fctr.Final.Ensemble.auto.2..rcv.glmnet
## 1 D
## 2 D
## 3 D
## 4 D
## 5 D
## 6 D
## Party.fctr.Final.Ensemble.auto.2..rcv.glmnet.err
## 1 TRUE
## 2 TRUE
## 3 TRUE
## 4 TRUE
## 5 TRUE
## 6 TRUE
## Party.fctr.Final.Ensemble.auto.2..rcv.glmnet.err.abs
## 1 0.9083664
## 2 0.9033502
## 3 0.9007404
## 4 0.9006689
## 5 0.8957077
## 6 0.8932877
## Party.fctr.Final.Ensemble.auto.2..rcv.glmnet.is.acc
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.Final.Ensemble.auto.2..rcv.glmnet.accurate
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## Party.fctr.Final.Ensemble.auto.2..rcv.glmnet.error
## 1 -0.5583664
## 2 -0.5533502
## 3 -0.5507404
## 4 -0.5506689
## 5 -0.5457077
## 6 -0.5432877
## USER_ID Party.fctr Party.fctr.RFE.X.Inc..rcv.bagEarth
## 285 3344 R D
## 1126 6874 R D
## 1289 3835 R D
## 1483 5297 R D
## 1515 5621 R D
## 1869 385 D D
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 285 0.3592399
## 1126 0.5153332
## 1289 0.5337344
## 1483 0.5547348
## 1515 0.5627490
## 1869 0.6369772
## Party.fctr.RFE.X.Inc..rcv.bagEarth.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.RFE.X.Inc..rcv.bagEarth.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.RFE.X.Inc..rcv.bagEarth.err.abs
## 285 0.6407601
## 1126 0.4846668
## 1289 0.4662656
## 1483 0.4452652
## 1515 0.4372510
## 1869 0.6369772
## Party.fctr.RFE.X..rcv.bagEarth Party.fctr.RFE.X..rcv.bagEarth.prob
## 285 D 0.3260053
## 1126 D 0.5395491
## 1289 D 0.5212445
## 1483 D 0.5421782
## 1515 D 0.5706701
## 1869 D 0.5263214
## Party.fctr.RFE.X..rcv.bagEarth.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.RFE.X..rcv.bagEarth.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.RFE.X..rcv.bagEarth.err.abs
## 285 0.6739947
## 1126 0.4604509
## 1289 0.4787555
## 1483 0.4578218
## 1515 0.4293299
## 1869 0.5263214
## Party.fctr.RFE.X.zv.pca.rcv.glmnet
## 285 D
## 1126 R
## 1289 D
## 1483 R
## 1515 R
## 1869 R
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.prob
## 285 0.2851134
## 1126 0.5773544
## 1289 0.4828871
## 1483 0.5289404
## 1515 0.5693353
## 1869 0.5233256
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.is.acc
## 285 FALSE
## 1126 TRUE
## 1289 FALSE
## 1483 TRUE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.err
## 285 TRUE
## 1126 FALSE
## 1289 TRUE
## 1483 FALSE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.err.abs
## 285 0.7148866
## 1126 0.4226456
## 1289 0.5171129
## 1483 0.4710596
## 1515 0.4306647
## 1869 0.5233256
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet
## 285 D
## 1126 D
## 1289 D
## 1483 D
## 1515 D
## 1869 D
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## 285 0.3059115
## 1126 0.5617398
## 1289 0.5371047
## 1483 0.5139915
## 1515 0.5449981
## 1869 0.5550532
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.err.abs
## 285 0.6940885
## 1126 0.4382602
## 1289 0.4628953
## 1483 0.4860085
## 1515 0.4550019
## 1869 0.5550532
## Party.fctr.All.X.spatialSign.rcv.glmnet
## 285 D
## 1126 D
## 1289 D
## 1483 D
## 1515 D
## 1869 D
## Party.fctr.All.X.spatialSign.rcv.glmnet.prob
## 285 0.3727105
## 1126 0.5472416
## 1289 0.5308677
## 1483 0.4848152
## 1515 0.5880719
## 1869 0.5980043
## Party.fctr.All.X.spatialSign.rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.All.X.spatialSign.rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.All.X.spatialSign.rcv.glmnet.err.abs
## 285 0.6272895
## 1126 0.4527584
## 1289 0.4691323
## 1483 0.5151848
## 1515 0.4119281
## 1869 0.5980043
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet
## 285 D
## 1126 D
## 1289 D
## 1483 D
## 1515 D
## 1869 D
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.prob
## 285 0.2936859
## 1126 0.5616766
## 1289 0.5375654
## 1483 0.5175732
## 1515 0.5436505
## 1869 0.5554812
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.err.abs
## 285 0.7063141
## 1126 0.4383234
## 1289 0.4624346
## 1483 0.4824268
## 1515 0.4563495
## 1869 0.5554812
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet
## 285 D
## 1126 D
## 1289 D
## 1483 D
## 1515 D
## 1869 D
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.prob
## 285 0.3124278
## 1126 0.5682957
## 1289 0.5387563
## 1483 0.5137115
## 1515 0.5349963
## 1869 0.5794779
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.err.abs
## 285 0.6875722
## 1126 0.4317043
## 1289 0.4612437
## 1483 0.4862885
## 1515 0.4650037
## 1869 0.5794779
## Party.fctr.RFE.X.spatialSign.rcv.glmnet
## 285 D
## 1126 D
## 1289 D
## 1483 D
## 1515 D
## 1869 D
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## 285 0.3693860
## 1126 0.5471723
## 1289 0.5307636
## 1483 0.4846465
## 1515 0.5879602
## 1869 0.5983457
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.err.abs
## 285 0.6306140
## 1126 0.4528277
## 1289 0.4692364
## 1483 0.5153535
## 1515 0.4120398
## 1869 0.5983457
## Party.fctr.All.X.nzv.rcv.glmnet Party.fctr.All.X.nzv.rcv.glmnet.prob
## 285 D 0.3061689
## 1126 D 0.5417313
## 1289 D 0.5210544
## 1483 D 0.4877016
## 1515 D 0.5377228
## 1869 D 0.5630101
## Party.fctr.All.X.nzv.rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.All.X.nzv.rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.All.X.nzv.rcv.glmnet.err.abs
## 285 0.6938311
## 1126 0.4582687
## 1289 0.4789456
## 1483 0.5122984
## 1515 0.4622772
## 1869 0.5630101
## Party.fctr.RFE.X.nzv.rcv.glmnet Party.fctr.RFE.X.nzv.rcv.glmnet.prob
## 285 D 0.3045716
## 1126 D 0.5412540
## 1289 D 0.5205066
## 1483 D 0.4921604
## 1515 D 0.5351052
## 1869 R 0.5632399
## Party.fctr.RFE.X.nzv.rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 FALSE
## 1869 FALSE
## Party.fctr.RFE.X.nzv.rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 TRUE
## 1869 TRUE
## Party.fctr.RFE.X.nzv.rcv.glmnet.err.abs
## 285 0.6954284
## 1126 0.4587460
## 1289 0.4794934
## 1483 0.5078396
## 1515 0.4648948
## 1869 0.5632399
## Party.fctr.All.X.expoTrans.rcv.glmnet
## 285 D
## 1126 D
## 1289 D
## 1483 D
## 1515 R
## 1869 R
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## 285 0.3829496
## 1126 0.5276189
## 1289 0.5296338
## 1483 0.4709054
## 1515 0.5787691
## 1869 0.6079587
## Party.fctr.All.X.expoTrans.rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.All.X.expoTrans.rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.All.X.expoTrans.rcv.glmnet.err.abs
## 285 0.6170504
## 1126 0.4723811
## 1289 0.4703662
## 1483 0.5290946
## 1515 0.4212309
## 1869 0.6079587
## Party.fctr.RFE.X.expoTrans.rcv.glmnet
## 285 D
## 1126 D
## 1289 D
## 1483 D
## 1515 R
## 1869 R
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.prob
## 285 0.3829496
## 1126 0.5276189
## 1289 0.5296338
## 1483 0.4709054
## 1515 0.5787691
## 1869 0.6079587
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.err.abs
## 285 0.6170504
## 1126 0.4723811
## 1289 0.4703662
## 1483 0.5290946
## 1515 0.4212309
## 1869 0.6079587
## Party.fctr.All.X.YeoJohnson.rcv.glmnet
## 285 D
## 1126 D
## 1289 D
## 1483 D
## 1515 R
## 1869 R
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.prob
## 285 0.3829347
## 1126 0.5275999
## 1289 0.5296755
## 1483 0.4710073
## 1515 0.5789336
## 1869 0.6080884
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.err.abs
## 285 0.6170653
## 1126 0.4724001
## 1289 0.4703245
## 1483 0.5289927
## 1515 0.4210664
## 1869 0.6080884
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet
## 285 D
## 1126 D
## 1289 D
## 1483 D
## 1515 R
## 1869 R
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## 285 0.3829347
## 1126 0.5275999
## 1289 0.5296755
## 1483 0.4710073
## 1515 0.5789336
## 1869 0.6080884
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.err.abs
## 285 0.6170653
## 1126 0.4724001
## 1289 0.4703245
## 1483 0.5289927
## 1515 0.4210664
## 1869 0.6080884
## Party.fctr.RFE.X..rcv.rpart Party.fctr.RFE.X..rcv.rpart.prob
## 285 D 0.4638143
## 1126 D 0.4638143
## 1289 R 0.6666667
## 1483 D 0.4638143
## 1515 R 0.6035857
## 1869 R 0.6035857
## Party.fctr.RFE.X..rcv.rpart.is.acc Party.fctr.RFE.X..rcv.rpart.err
## 285 FALSE TRUE
## 1126 FALSE TRUE
## 1289 TRUE FALSE
## 1483 FALSE TRUE
## 1515 TRUE FALSE
## 1869 FALSE TRUE
## Party.fctr.RFE.X..rcv.rpart.err.abs Party.fctr.RFE.X..rcv.glmnet
## 285 0.5361857 D
## 1126 0.5361857 D
## 1289 0.3333333 D
## 1483 0.5361857 D
## 1515 0.3964143 R
## 1869 0.6035857 R
## Party.fctr.RFE.X..rcv.glmnet.prob Party.fctr.RFE.X..rcv.glmnet.is.acc
## 285 0.3830267 FALSE
## 1126 0.5265698 FALSE
## 1289 0.5139073 FALSE
## 1483 0.4711044 FALSE
## 1515 0.5776177 TRUE
## 1869 0.6086434 FALSE
## Party.fctr.RFE.X..rcv.glmnet.err Party.fctr.RFE.X..rcv.glmnet.err.abs
## 285 TRUE 0.6169733
## 1126 TRUE 0.4734302
## 1289 TRUE 0.4860927
## 1483 TRUE 0.5288956
## 1515 FALSE 0.4223823
## 1869 TRUE 0.6086434
## Party.fctr.All.X.conditionalX.rcv.glmnet
## 285 D
## 1126 D
## 1289 D
## 1483 D
## 1515 R
## 1869 R
## Party.fctr.All.X.conditionalX.rcv.glmnet.prob
## 285 0.3830267
## 1126 0.5265698
## 1289 0.5139073
## 1483 0.4711044
## 1515 0.5776177
## 1869 0.6086434
## Party.fctr.All.X.conditionalX.rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.All.X.conditionalX.rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.All.X.conditionalX.rcv.glmnet.err.abs
## 285 0.6169733
## 1126 0.4734302
## 1289 0.4860927
## 1483 0.5288956
## 1515 0.4223823
## 1869 0.6086434
## Party.fctr.All.X..rcv.glmnet Party.fctr.All.X..rcv.glmnet.prob
## 285 D 0.3830267
## 1126 D 0.5265698
## 1289 D 0.5139073
## 1483 D 0.4711044
## 1515 R 0.5776177
## 1869 R 0.6086434
## Party.fctr.All.X..rcv.glmnet.is.acc Party.fctr.All.X..rcv.glmnet.err
## 285 FALSE TRUE
## 1126 FALSE TRUE
## 1289 FALSE TRUE
## 1483 FALSE TRUE
## 1515 TRUE FALSE
## 1869 FALSE TRUE
## Party.fctr.All.X..rcv.glmnet.err.abs Party.fctr.Low.cor.X..rcv.glmnet
## 285 0.6169733 D
## 1126 0.4734302 D
## 1289 0.4860927 D
## 1483 0.5288956 D
## 1515 0.4223823 R
## 1869 0.6086434 R
## Party.fctr.Low.cor.X..rcv.glmnet.prob
## 285 0.3830267
## 1126 0.5265698
## 1289 0.5139073
## 1483 0.4711044
## 1515 0.5776177
## 1869 0.6086434
## Party.fctr.Low.cor.X..rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.Low.cor.X..rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.Low.cor.X..rcv.glmnet.err.abs
## 285 0.6169733
## 1126 0.4734302
## 1289 0.4860927
## 1483 0.5288956
## 1515 0.4223823
## 1869 0.6086434
## Party.fctr.RFE.X.conditionalX.rcv.glmnet
## 285 D
## 1126 D
## 1289 D
## 1483 D
## 1515 R
## 1869 R
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.prob
## 285 0.3830267
## 1126 0.5265698
## 1289 0.5139073
## 1483 0.4711044
## 1515 0.5776177
## 1869 0.6086434
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.err.abs
## 285 0.6169733
## 1126 0.4734302
## 1289 0.4860927
## 1483 0.5288956
## 1515 0.4223823
## 1869 0.6086434
## Party.fctr.All.X.zv.rcv.glmnet Party.fctr.All.X.zv.rcv.glmnet.prob
## 285 D 0.3830267
## 1126 D 0.5265698
## 1289 D 0.5139073
## 1483 D 0.4711044
## 1515 R 0.5776177
## 1869 R 0.6086434
## Party.fctr.All.X.zv.rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.All.X.zv.rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.All.X.zv.rcv.glmnet.err.abs Party.fctr.RFE.X.zv.rcv.glmnet
## 285 0.6169733 D
## 1126 0.4734302 D
## 1289 0.4860927 D
## 1483 0.5288956 D
## 1515 0.4223823 R
## 1869 0.6086434 R
## Party.fctr.RFE.X.zv.rcv.glmnet.prob
## 285 0.3830267
## 1126 0.5265698
## 1289 0.5139073
## 1483 0.4711044
## 1515 0.5776177
## 1869 0.6086434
## Party.fctr.RFE.X.zv.rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.RFE.X.zv.rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.RFE.X.zv.rcv.glmnet.err.abs
## 285 0.6169733
## 1126 0.4734302
## 1289 0.4860927
## 1483 0.5288956
## 1515 0.4223823
## 1869 0.6086434
## Party.fctr.RFE.X.scale.rcv.glmnet
## 285 D
## 1126 D
## 1289 D
## 1483 D
## 1515 R
## 1869 R
## Party.fctr.RFE.X.scale.rcv.glmnet.prob
## 285 0.3830267
## 1126 0.5265698
## 1289 0.5139073
## 1483 0.4711044
## 1515 0.5776177
## 1869 0.6086434
## Party.fctr.RFE.X.scale.rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.RFE.X.scale.rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.RFE.X.scale.rcv.glmnet.err.abs
## 285 0.6169733
## 1126 0.4734302
## 1289 0.4860927
## 1483 0.5288956
## 1515 0.4223823
## 1869 0.6086434
## Party.fctr.RFE.X.center.rcv.glmnet
## 285 D
## 1126 D
## 1289 D
## 1483 D
## 1515 R
## 1869 R
## Party.fctr.RFE.X.center.rcv.glmnet.prob
## 285 0.3830267
## 1126 0.5265698
## 1289 0.5139073
## 1483 0.4711044
## 1515 0.5776177
## 1869 0.6086434
## Party.fctr.RFE.X.center.rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.RFE.X.center.rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.RFE.X.center.rcv.glmnet.err.abs
## 285 0.6169733
## 1126 0.4734302
## 1289 0.4860927
## 1483 0.5288956
## 1515 0.4223823
## 1869 0.6086434
## Party.fctr.All.X.scale.rcv.glmnet
## 285 D
## 1126 D
## 1289 D
## 1483 D
## 1515 R
## 1869 R
## Party.fctr.All.X.scale.rcv.glmnet.prob
## 285 0.3830267
## 1126 0.5265698
## 1289 0.5139073
## 1483 0.4711044
## 1515 0.5776177
## 1869 0.6086434
## Party.fctr.All.X.scale.rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.All.X.scale.rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.All.X.scale.rcv.glmnet.err.abs
## 285 0.6169733
## 1126 0.4734302
## 1289 0.4860927
## 1483 0.5288956
## 1515 0.4223823
## 1869 0.6086434
## Party.fctr.All.X.center.rcv.glmnet
## 285 D
## 1126 D
## 1289 D
## 1483 D
## 1515 R
## 1869 R
## Party.fctr.All.X.center.rcv.glmnet.prob
## 285 0.3830267
## 1126 0.5265698
## 1289 0.5139073
## 1483 0.4711044
## 1515 0.5776177
## 1869 0.6086434
## Party.fctr.All.X.center.rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.All.X.center.rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.All.X.center.rcv.glmnet.err.abs
## 285 0.6169733
## 1126 0.4734302
## 1289 0.4860927
## 1483 0.5288956
## 1515 0.4223823
## 1869 0.6086434
## Party.fctr.RFE.X.range.rcv.glmnet
## 285 D
## 1126 D
## 1289 D
## 1483 D
## 1515 R
## 1869 R
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## 285 0.3830267
## 1126 0.5265698
## 1289 0.5139073
## 1483 0.4711044
## 1515 0.5776177
## 1869 0.6086434
## Party.fctr.RFE.X.range.rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.RFE.X.range.rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.RFE.X.range.rcv.glmnet.err.abs
## 285 0.6169733
## 1126 0.4734302
## 1289 0.4860927
## 1483 0.5288956
## 1515 0.4223823
## 1869 0.6086434
## Party.fctr.RFE.X.BoxCox.rcv.glmnet
## 285 D
## 1126 D
## 1289 D
## 1483 D
## 1515 R
## 1869 R
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.prob
## 285 0.3830267
## 1126 0.5265698
## 1289 0.5139073
## 1483 0.4711044
## 1515 0.5776177
## 1869 0.6086434
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.err.abs
## 285 0.6169733
## 1126 0.4734302
## 1289 0.4860927
## 1483 0.5288956
## 1515 0.4223823
## 1869 0.6086434
## Party.fctr.All.X.range.rcv.glmnet
## 285 D
## 1126 D
## 1289 D
## 1483 D
## 1515 R
## 1869 R
## Party.fctr.All.X.range.rcv.glmnet.prob
## 285 0.3830267
## 1126 0.5265698
## 1289 0.5139073
## 1483 0.4711044
## 1515 0.5776177
## 1869 0.6086434
## Party.fctr.All.X.range.rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.All.X.range.rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.All.X.range.rcv.glmnet.err.abs
## 285 0.6169733
## 1126 0.4734302
## 1289 0.4860927
## 1483 0.5288956
## 1515 0.4223823
## 1869 0.6086434
## Party.fctr.All.X.BoxCox.rcv.glmnet
## 285 D
## 1126 D
## 1289 D
## 1483 D
## 1515 R
## 1869 R
## Party.fctr.All.X.BoxCox.rcv.glmnet.prob
## 285 0.3830267
## 1126 0.5265698
## 1289 0.5139073
## 1483 0.4711044
## 1515 0.5776177
## 1869 0.6086434
## Party.fctr.All.X.BoxCox.rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.All.X.BoxCox.rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.All.X.BoxCox.rcv.glmnet.err.abs
## 285 0.6169733
## 1126 0.4734302
## 1289 0.4860927
## 1483 0.5288956
## 1515 0.4223823
## 1869 0.6086434
## Party.fctr.RFE.X.center.scale.rcv.glmnet
## 285 D
## 1126 D
## 1289 D
## 1483 D
## 1515 R
## 1869 R
## Party.fctr.RFE.X.center.scale.rcv.glmnet.prob
## 285 0.3830267
## 1126 0.5265698
## 1289 0.5139073
## 1483 0.4711044
## 1515 0.5776177
## 1869 0.6086434
## Party.fctr.RFE.X.center.scale.rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.RFE.X.center.scale.rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.RFE.X.center.scale.rcv.glmnet.err.abs
## 285 0.6169733
## 1126 0.4734302
## 1289 0.4860927
## 1483 0.5288956
## 1515 0.4223823
## 1869 0.6086434
## Party.fctr.All.X.center.scale.rcv.glmnet
## 285 D
## 1126 D
## 1289 D
## 1483 D
## 1515 R
## 1869 R
## Party.fctr.All.X.center.scale.rcv.glmnet.prob
## 285 0.3830267
## 1126 0.5265698
## 1289 0.5139073
## 1483 0.4711044
## 1515 0.5776177
## 1869 0.6086434
## Party.fctr.All.X.center.scale.rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.All.X.center.scale.rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.All.X.center.scale.rcv.glmnet.err.abs
## 285 0.6169733
## 1126 0.4734302
## 1289 0.4860927
## 1483 0.5288956
## 1515 0.4223823
## 1869 0.6086434
## Party.fctr.All.X.zv.pca.rcv.glmnet
## 285 D
## 1126 R
## 1289 R
## 1483 R
## 1515 R
## 1869 R
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## 285 0.3005493
## 1126 0.5554779
## 1289 0.5132118
## 1483 0.5340338
## 1515 0.5117627
## 1869 0.5008522
## Party.fctr.All.X.zv.pca.rcv.glmnet.is.acc
## 285 FALSE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.All.X.zv.pca.rcv.glmnet.err
## 285 TRUE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.All.X.zv.pca.rcv.glmnet.err.abs Party.fctr.RFE.X..rcv.gbm
## 285 0.6994507 D
## 1126 0.4445221 D
## 1289 0.4867882 D
## 1483 0.4659662 D
## 1515 0.4882373 D
## 1869 0.5008522 D
## Party.fctr.RFE.X..rcv.gbm.prob Party.fctr.RFE.X..rcv.gbm.is.acc
## 285 0.3834368 FALSE
## 1126 0.5034111 FALSE
## 1289 0.5026206 FALSE
## 1483 0.5113073 FALSE
## 1515 0.5572504 FALSE
## 1869 0.5635102 TRUE
## Party.fctr.RFE.X..rcv.gbm.err Party.fctr.RFE.X..rcv.gbm.err.abs
## 285 TRUE 0.6165632
## 1126 TRUE 0.4965889
## 1289 TRUE 0.4973794
## 1483 TRUE 0.4886927
## 1515 TRUE 0.4427496
## 1869 FALSE 0.5635102
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet
## 285 D
## 1126 D
## 1289 D
## 1483 D
## 1515 D
## 1869 R
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.prob
## 285 0.3812111
## 1126 0.4852111
## 1289 0.5067967
## 1483 0.4971762
## 1515 0.4961668
## 1869 0.6057089
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 FALSE
## 1869 FALSE
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 TRUE
## 1869 TRUE
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.err.abs
## 285 0.6187889
## 1126 0.5147889
## 1289 0.4932033
## 1483 0.5028238
## 1515 0.5038332
## 1869 0.6057089
## Party.fctr.RFE.X..rcv.earth Party.fctr.RFE.X..rcv.earth.prob
## 285 D 0.3665871
## 1126 D 0.5743118
## 1289 D 0.5497041
## 1483 D 0.4651873
## 1515 R 0.6739573
## 1869 D 0.5861760
## Party.fctr.RFE.X..rcv.earth.is.acc Party.fctr.RFE.X..rcv.earth.err
## 285 FALSE TRUE
## 1126 FALSE TRUE
## 1289 FALSE TRUE
## 1483 FALSE TRUE
## 1515 TRUE FALSE
## 1869 TRUE FALSE
## Party.fctr.RFE.X..rcv.earth.err.abs Party.fctr.RFE.X..rcv.glm
## 285 0.6334129 D
## 1126 0.4256882 D
## 1289 0.4502959 D
## 1483 0.5348127 D
## 1515 0.3260427 D
## 1869 0.5861760 D
## Party.fctr.RFE.X..rcv.glm.prob Party.fctr.RFE.X..rcv.glm.is.acc
## 285 0.4500397 FALSE
## 1126 0.5172548 FALSE
## 1289 0.5442998 FALSE
## 1483 0.4845031 FALSE
## 1515 0.4523100 FALSE
## 1869 0.4674102 TRUE
## Party.fctr.RFE.X..rcv.glm.err Party.fctr.RFE.X..rcv.glm.err.abs
## 285 TRUE 0.5499603
## 1126 TRUE 0.4827452
## 1289 TRUE 0.4557002
## 1483 TRUE 0.5154969
## 1515 TRUE 0.5476900
## 1869 FALSE 0.4674102
## Party.fctr.All.X..rcv.glm Party.fctr.All.X..rcv.glm.prob
## 285 D 0.5046418
## 1126 D 0.5164835
## 1289 D 0.5412691
## 1483 D 0.4771148
## 1515 D 0.4484790
## 1869 D 0.4673232
## Party.fctr.All.X..rcv.glm.is.acc Party.fctr.All.X..rcv.glm.err
## 285 FALSE TRUE
## 1126 FALSE TRUE
## 1289 FALSE TRUE
## 1483 FALSE TRUE
## 1515 FALSE TRUE
## 1869 TRUE FALSE
## Party.fctr.All.X..rcv.glm.err.abs Party.fctr.RFE.X..rcv.rf
## 285 0.4953582 D
## 1126 0.4835165 R
## 1289 0.4587309 R
## 1483 0.5228852 R
## 1515 0.5515210 D
## 1869 0.4673232 D
## Party.fctr.RFE.X..rcv.rf.prob Party.fctr.RFE.X..rcv.rf.is.acc
## 285 0.358 FALSE
## 1126 0.770 TRUE
## 1289 0.854 TRUE
## 1483 0.852 TRUE
## 1515 0.504 FALSE
## 1869 0.228 TRUE
## Party.fctr.RFE.X..rcv.rf.err Party.fctr.RFE.X..rcv.rf.err.abs
## 285 TRUE 0.642
## 1126 FALSE 0.230
## 1289 FALSE 0.146
## 1483 FALSE 0.148
## 1515 TRUE 0.496
## 1869 FALSE 0.228
## Party.fctr.RFE.X..rcv.avNNet Party.fctr.RFE.X..rcv.avNNet.prob
## 285 D 0.1091323
## 1126 R 0.7320856
## 1289 R 0.8116179
## 1483 R 0.8359264
## 1515 R 0.6747115
## 1869 D 0.4213566
## Party.fctr.RFE.X..rcv.avNNet.is.acc Party.fctr.RFE.X..rcv.avNNet.err
## 285 FALSE TRUE
## 1126 TRUE FALSE
## 1289 TRUE FALSE
## 1483 TRUE FALSE
## 1515 TRUE FALSE
## 1869 TRUE FALSE
## Party.fctr.RFE.X..rcv.avNNet.err.abs Party.fctr.RFE.X..rcv.nnet
## 285 0.8908677 D
## 1126 0.2679144 D
## 1289 0.1883821 R
## 1483 0.1640736 R
## 1515 0.3252885 D
## 1869 0.4213566 D
## Party.fctr.RFE.X..rcv.nnet.prob Party.fctr.RFE.X..rcv.nnet.is.acc
## 285 0.6227116 FALSE
## 1126 0.6145448 FALSE
## 1289 0.7256292 TRUE
## 1483 0.6596966 TRUE
## 1515 0.6225383 FALSE
## 1869 0.3047615 TRUE
## Party.fctr.RFE.X..rcv.nnet.err Party.fctr.RFE.X..rcv.nnet.err.abs
## 285 TRUE 0.3772884
## 1126 TRUE 0.3854552
## 1289 FALSE 0.2743708
## 1483 FALSE 0.3403034
## 1515 TRUE 0.3774617
## 1869 FALSE 0.3047615
## Party.fctr.RFE.X.ica.rcv.glmnet Party.fctr.RFE.X.ica.rcv.glmnet.prob
## 285 D 0.4199514
## 1126 D 0.4858164
## 1289 D 0.4762561
## 1483 D 0.4238043
## 1515 D 0.4488557
## 1869 D 0.4519719
## Party.fctr.RFE.X.ica.rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.RFE.X.ica.rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.RFE.X.ica.rcv.glmnet.err.abs
## 285 0.5800486
## 1126 0.5141836
## 1289 0.5237439
## 1483 0.5761957
## 1515 0.5511443
## 1869 0.4519719
## Party.fctr.All.X.ica.rcv.glmnet Party.fctr.All.X.ica.rcv.glmnet.prob
## 285 D 0.4166863
## 1126 D 0.4848066
## 1289 D 0.4812095
## 1483 D 0.4304445
## 1515 D 0.4417073
## 1869 D 0.4501259
## Party.fctr.All.X.ica.rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.All.X.ica.rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.All.X.ica.rcv.glmnet.err.abs
## 285 0.5833137
## 1126 0.5151934
## 1289 0.5187905
## 1483 0.5695555
## 1515 0.5582927
## 1869 0.4501259
## Party.fctr.Interact.High.cor.Y..rcv.glmnet
## 285 D
## 1126 D
## 1289 D
## 1483 D
## 1515 D
## 1869 D
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.prob
## 285 0.4103951
## 1126 0.5115123
## 1289 0.4674913
## 1483 0.5801181
## 1515 0.5152728
## 1869 0.6335740
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.err.abs
## 285 0.5896049
## 1126 0.4884877
## 1289 0.5325087
## 1483 0.4198819
## 1515 0.4847272
## 1869 0.6335740
## Party.fctr.Ensemble.auto.2..rcv.glmnet.prob
## 285 NA
## 1126 0.5518203
## 1289 0.5196494
## 1483 0.6119311
## 1515 NA
## 1869 0.5924222
## Party.fctr.Ensemble.auto.2..rcv.glmnet
## 285 <NA>
## 1126 D
## 1289 D
## 1483 D
## 1515 <NA>
## 1869 D
## Party.fctr.Ensemble.auto.2..rcv.glmnet.err
## 285 NA
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 NA
## 1869 FALSE
## Party.fctr.Ensemble.auto.2..rcv.glmnet.err.abs
## 285 NA
## 1126 0.4481797
## 1289 0.4803506
## 1483 0.3880689
## 1515 NA
## 1869 0.5924222
## Party.fctr.Ensemble.auto.2..rcv.glmnet.is.acc
## 285 NA
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 NA
## 1869 TRUE
## Party.fctr.Final.RFE.X.Inc..rcv.bagEarth.prob
## 285 0.3592399
## 1126 0.5153332
## 1289 0.5337344
## 1483 0.5547348
## 1515 0.5627490
## 1869 0.6369772
## Party.fctr.Final.RFE.X.Inc..rcv.bagEarth
## 285 D
## 1126 D
## 1289 D
## 1483 D
## 1515 D
## 1869 D
## Party.fctr.Final.RFE.X.Inc..rcv.bagEarth.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.Final.RFE.X.Inc..rcv.bagEarth.err.abs
## 285 0.6407601
## 1126 0.4846668
## 1289 0.4662656
## 1483 0.4452652
## 1515 0.4372510
## 1869 0.6369772
## Party.fctr.Final.RFE.X.Inc..rcv.bagEarth.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.Final.All.X.ica.rcv.glmnet.prob
## 285 0.4166863
## 1126 0.4848066
## 1289 0.4812095
## 1483 0.4304445
## 1515 0.4417073
## 1869 0.4501259
## Party.fctr.Final.All.X.ica.rcv.glmnet
## 285 D
## 1126 D
## 1289 D
## 1483 D
## 1515 D
## 1869 D
## Party.fctr.Final.All.X.ica.rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 TRUE
## 1869 FALSE
## Party.fctr.Final.All.X.ica.rcv.glmnet.err.abs
## 285 0.5833137
## 1126 0.5151934
## 1289 0.5187905
## 1483 0.5695555
## 1515 0.5582927
## 1869 0.4501259
## Party.fctr.Final.All.X.ica.rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 FALSE
## 1869 TRUE
## Party.fctr.Final.Ensemble.auto.2..rcv.glmnet.prob
## 285 0.3176454
## 1126 0.5127033
## 1289 0.5382058
## 1483 0.5731279
## 1515 0.5823363
## 1869 0.6754331
## Party.fctr.Final.Ensemble.auto.2..rcv.glmnet
## 285 D
## 1126 D
## 1289 D
## 1483 D
## 1515 D
## 1869 R
## Party.fctr.Final.Ensemble.auto.2..rcv.glmnet.err
## 285 TRUE
## 1126 TRUE
## 1289 TRUE
## 1483 TRUE
## 1515 TRUE
## 1869 TRUE
## Party.fctr.Final.Ensemble.auto.2..rcv.glmnet.err.abs
## 285 0.6823546
## 1126 0.4872967
## 1289 0.4617942
## 1483 0.4268721
## 1515 0.4176637
## 1869 0.6754331
## Party.fctr.Final.Ensemble.auto.2..rcv.glmnet.is.acc
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 FALSE
## 1869 FALSE
## Party.fctr.Final.Ensemble.auto.2..rcv.glmnet.accurate
## 285 FALSE
## 1126 FALSE
## 1289 FALSE
## 1483 FALSE
## 1515 FALSE
## 1869 FALSE
## Party.fctr.Final.Ensemble.auto.2..rcv.glmnet.error
## 285 -0.33235458
## 1126 -0.13729672
## 1289 -0.11179415
## 1483 -0.07687212
## 1515 -0.06766374
## 1869 0.02543308
## USER_ID Party.fctr Party.fctr.RFE.X.Inc..rcv.bagEarth
## 2091 1393 D R
## 2092 1311 D R
## 2093 1309 D R
## 2094 892 D R
## 2095 2641 D R
## 2096 3006 D R
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob
## 2091 0.8366347
## 2092 0.8362552
## 2093 0.8384290
## 2094 0.8350554
## 2095 0.8394247
## 2096 0.8442049
## Party.fctr.RFE.X.Inc..rcv.bagEarth.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.RFE.X.Inc..rcv.bagEarth.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.RFE.X.Inc..rcv.bagEarth.err.abs
## 2091 0.8366347
## 2092 0.8362552
## 2093 0.8384290
## 2094 0.8350554
## 2095 0.8394247
## 2096 0.8442049
## Party.fctr.RFE.X..rcv.bagEarth Party.fctr.RFE.X..rcv.bagEarth.prob
## 2091 R 0.8333936
## 2092 R 0.8330639
## 2093 R 0.8456653
## 2094 R 0.8419323
## 2095 R 0.8502812
## 2096 R 0.8955813
## Party.fctr.RFE.X..rcv.bagEarth.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.RFE.X..rcv.bagEarth.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.RFE.X..rcv.bagEarth.err.abs
## 2091 0.8333936
## 2092 0.8330639
## 2093 0.8456653
## 2094 0.8419323
## 2095 0.8502812
## 2096 0.8955813
## Party.fctr.RFE.X.zv.pca.rcv.glmnet
## 2091 R
## 2092 R
## 2093 R
## 2094 R
## 2095 R
## 2096 R
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.prob
## 2091 0.6708123
## 2092 0.7768953
## 2093 0.8106673
## 2094 0.8034368
## 2095 0.8177903
## 2096 0.7871980
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.RFE.X.zv.pca.rcv.glmnet.err.abs
## 2091 0.6708123
## 2092 0.7768953
## 2093 0.8106673
## 2094 0.8034368
## 2095 0.8177903
## 2096 0.7871980
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet
## 2091 R
## 2092 R
## 2093 R
## 2094 R
## 2095 R
## 2096 R
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.prob
## 2091 0.7561127
## 2092 0.7607013
## 2093 0.7881526
## 2094 0.7444508
## 2095 0.7788211
## 2096 0.7762167
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.All.X.nzv.spatialSign.rcv.glmnet.err.abs
## 2091 0.7561127
## 2092 0.7607013
## 2093 0.7881526
## 2094 0.7444508
## 2095 0.7788211
## 2096 0.7762167
## Party.fctr.All.X.spatialSign.rcv.glmnet
## 2091 R
## 2092 R
## 2093 R
## 2094 R
## 2095 R
## 2096 R
## Party.fctr.All.X.spatialSign.rcv.glmnet.prob
## 2091 0.7638163
## 2092 0.7624399
## 2093 0.7877210
## 2094 0.7547337
## 2095 0.7507421
## 2096 0.7661737
## Party.fctr.All.X.spatialSign.rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.All.X.spatialSign.rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.All.X.spatialSign.rcv.glmnet.err.abs
## 2091 0.7638163
## 2092 0.7624399
## 2093 0.7877210
## 2094 0.7547337
## 2095 0.7507421
## 2096 0.7661737
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet
## 2091 R
## 2092 R
## 2093 R
## 2094 R
## 2095 R
## 2096 R
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.prob
## 2091 0.7564985
## 2092 0.7597932
## 2093 0.7876670
## 2094 0.7445485
## 2095 0.7789910
## 2096 0.7761224
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.RFE.X.nzv.spatialSign.rcv.glmnet.err.abs
## 2091 0.7564985
## 2092 0.7597932
## 2093 0.7876670
## 2094 0.7445485
## 2095 0.7789910
## 2096 0.7761224
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet
## 2091 R
## 2092 R
## 2093 R
## 2094 R
## 2095 R
## 2096 R
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.prob
## 2091 0.7865578
## 2092 0.7890893
## 2093 0.8168050
## 2094 0.7604862
## 2095 0.7947198
## 2096 0.7897290
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.All.X.Inc.nzv.spatialSign.rcv.glmnet.err.abs
## 2091 0.7865578
## 2092 0.7890893
## 2093 0.8168050
## 2094 0.7604862
## 2095 0.7947198
## 2096 0.7897290
## Party.fctr.RFE.X.spatialSign.rcv.glmnet
## 2091 R
## 2092 R
## 2093 R
## 2094 R
## 2095 R
## 2096 R
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.prob
## 2091 0.7639475
## 2092 0.7614147
## 2093 0.7871647
## 2094 0.7539711
## 2095 0.7499441
## 2096 0.7723208
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.RFE.X.spatialSign.rcv.glmnet.err.abs
## 2091 0.7639475
## 2092 0.7614147
## 2093 0.7871647
## 2094 0.7539711
## 2095 0.7499441
## 2096 0.7723208
## Party.fctr.All.X.nzv.rcv.glmnet Party.fctr.All.X.nzv.rcv.glmnet.prob
## 2091 R 0.7624790
## 2092 R 0.7511503
## 2093 R 0.8003803
## 2094 R 0.7582014
## 2095 R 0.7765515
## 2096 R 0.7959818
## Party.fctr.All.X.nzv.rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.All.X.nzv.rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.All.X.nzv.rcv.glmnet.err.abs
## 2091 0.7624790
## 2092 0.7511503
## 2093 0.8003803
## 2094 0.7582014
## 2095 0.7765515
## 2096 0.7959818
## Party.fctr.RFE.X.nzv.rcv.glmnet Party.fctr.RFE.X.nzv.rcv.glmnet.prob
## 2091 R 0.7632306
## 2092 R 0.7519050
## 2093 R 0.8006129
## 2094 R 0.7597933
## 2095 R 0.7773654
## 2096 R 0.7918549
## Party.fctr.RFE.X.nzv.rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.RFE.X.nzv.rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.RFE.X.nzv.rcv.glmnet.err.abs
## 2091 0.7632306
## 2092 0.7519050
## 2093 0.8006129
## 2094 0.7597933
## 2095 0.7773654
## 2096 0.7918549
## Party.fctr.All.X.expoTrans.rcv.glmnet
## 2091 R
## 2092 R
## 2093 R
## 2094 R
## 2095 R
## 2096 R
## Party.fctr.All.X.expoTrans.rcv.glmnet.prob
## 2091 0.7625744
## 2092 0.7450704
## 2093 0.7921285
## 2094 0.7645389
## 2095 0.7474150
## 2096 0.7827551
## Party.fctr.All.X.expoTrans.rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.All.X.expoTrans.rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.All.X.expoTrans.rcv.glmnet.err.abs
## 2091 0.7625744
## 2092 0.7450704
## 2093 0.7921285
## 2094 0.7645389
## 2095 0.7474150
## 2096 0.7827551
## Party.fctr.RFE.X.expoTrans.rcv.glmnet
## 2091 R
## 2092 R
## 2093 R
## 2094 R
## 2095 R
## 2096 R
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.prob
## 2091 0.7625744
## 2092 0.7450704
## 2093 0.7921285
## 2094 0.7645389
## 2095 0.7474150
## 2096 0.7827551
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.RFE.X.expoTrans.rcv.glmnet.err.abs
## 2091 0.7625744
## 2092 0.7450704
## 2093 0.7921285
## 2094 0.7645389
## 2095 0.7474150
## 2096 0.7827551
## Party.fctr.All.X.YeoJohnson.rcv.glmnet
## 2091 R
## 2092 R
## 2093 R
## 2094 R
## 2095 R
## 2096 R
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.prob
## 2091 0.7625311
## 2092 0.7451657
## 2093 0.7921805
## 2094 0.7646698
## 2095 0.7475486
## 2096 0.7827597
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.All.X.YeoJohnson.rcv.glmnet.err.abs
## 2091 0.7625311
## 2092 0.7451657
## 2093 0.7921805
## 2094 0.7646698
## 2095 0.7475486
## 2096 0.7827597
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet
## 2091 R
## 2092 R
## 2093 R
## 2094 R
## 2095 R
## 2096 R
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.prob
## 2091 0.7625311
## 2092 0.7451657
## 2093 0.7921805
## 2094 0.7646698
## 2095 0.7475486
## 2096 0.7827597
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.RFE.X.YeoJohnson.rcv.glmnet.err.abs
## 2091 0.7625311
## 2092 0.7451657
## 2093 0.7921805
## 2094 0.7646698
## 2095 0.7475486
## 2096 0.7827597
## Party.fctr.RFE.X..rcv.rpart Party.fctr.RFE.X..rcv.rpart.prob
## 2091 R 0.6666667
## 2092 R 0.6666667
## 2093 R 0.6666667
## 2094 R 0.6666667
## 2095 R 0.6666667
## 2096 R 0.6666667
## Party.fctr.RFE.X..rcv.rpart.is.acc Party.fctr.RFE.X..rcv.rpart.err
## 2091 FALSE TRUE
## 2092 FALSE TRUE
## 2093 FALSE TRUE
## 2094 FALSE TRUE
## 2095 FALSE TRUE
## 2096 FALSE TRUE
## Party.fctr.RFE.X..rcv.rpart.err.abs Party.fctr.RFE.X..rcv.glmnet
## 2091 0.6666667 R
## 2092 0.6666667 R
## 2093 0.6666667 R
## 2094 0.6666667 R
## 2095 0.6666667 R
## 2096 0.6666667 R
## Party.fctr.RFE.X..rcv.glmnet.prob Party.fctr.RFE.X..rcv.glmnet.is.acc
## 2091 0.7621309 FALSE
## 2092 0.7456295 FALSE
## 2093 0.7929111 FALSE
## 2094 0.7639110 FALSE
## 2095 0.7486126 FALSE
## 2096 0.7821974 FALSE
## Party.fctr.RFE.X..rcv.glmnet.err Party.fctr.RFE.X..rcv.glmnet.err.abs
## 2091 TRUE 0.7621309
## 2092 TRUE 0.7456295
## 2093 TRUE 0.7929111
## 2094 TRUE 0.7639110
## 2095 TRUE 0.7486126
## 2096 TRUE 0.7821974
## Party.fctr.All.X.conditionalX.rcv.glmnet
## 2091 R
## 2092 R
## 2093 R
## 2094 R
## 2095 R
## 2096 R
## Party.fctr.All.X.conditionalX.rcv.glmnet.prob
## 2091 0.7621309
## 2092 0.7456295
## 2093 0.7929111
## 2094 0.7639110
## 2095 0.7486126
## 2096 0.7821974
## Party.fctr.All.X.conditionalX.rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.All.X.conditionalX.rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.All.X.conditionalX.rcv.glmnet.err.abs
## 2091 0.7621309
## 2092 0.7456295
## 2093 0.7929111
## 2094 0.7639110
## 2095 0.7486126
## 2096 0.7821974
## Party.fctr.All.X..rcv.glmnet Party.fctr.All.X..rcv.glmnet.prob
## 2091 R 0.7621309
## 2092 R 0.7456295
## 2093 R 0.7929111
## 2094 R 0.7639110
## 2095 R 0.7486126
## 2096 R 0.7821974
## Party.fctr.All.X..rcv.glmnet.is.acc Party.fctr.All.X..rcv.glmnet.err
## 2091 FALSE TRUE
## 2092 FALSE TRUE
## 2093 FALSE TRUE
## 2094 FALSE TRUE
## 2095 FALSE TRUE
## 2096 FALSE TRUE
## Party.fctr.All.X..rcv.glmnet.err.abs Party.fctr.Low.cor.X..rcv.glmnet
## 2091 0.7621309 R
## 2092 0.7456295 R
## 2093 0.7929111 R
## 2094 0.7639110 R
## 2095 0.7486126 R
## 2096 0.7821974 R
## Party.fctr.Low.cor.X..rcv.glmnet.prob
## 2091 0.7621309
## 2092 0.7456295
## 2093 0.7929111
## 2094 0.7639110
## 2095 0.7486126
## 2096 0.7821974
## Party.fctr.Low.cor.X..rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.Low.cor.X..rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.Low.cor.X..rcv.glmnet.err.abs
## 2091 0.7621309
## 2092 0.7456295
## 2093 0.7929111
## 2094 0.7639110
## 2095 0.7486126
## 2096 0.7821974
## Party.fctr.RFE.X.conditionalX.rcv.glmnet
## 2091 R
## 2092 R
## 2093 R
## 2094 R
## 2095 R
## 2096 R
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.prob
## 2091 0.7621309
## 2092 0.7456295
## 2093 0.7929111
## 2094 0.7639110
## 2095 0.7486126
## 2096 0.7821974
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.RFE.X.conditionalX.rcv.glmnet.err.abs
## 2091 0.7621309
## 2092 0.7456295
## 2093 0.7929111
## 2094 0.7639110
## 2095 0.7486126
## 2096 0.7821974
## Party.fctr.All.X.zv.rcv.glmnet Party.fctr.All.X.zv.rcv.glmnet.prob
## 2091 R 0.7621309
## 2092 R 0.7456295
## 2093 R 0.7929111
## 2094 R 0.7639110
## 2095 R 0.7486126
## 2096 R 0.7821974
## Party.fctr.All.X.zv.rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.All.X.zv.rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.All.X.zv.rcv.glmnet.err.abs Party.fctr.RFE.X.zv.rcv.glmnet
## 2091 0.7621309 R
## 2092 0.7456295 R
## 2093 0.7929111 R
## 2094 0.7639110 R
## 2095 0.7486126 R
## 2096 0.7821974 R
## Party.fctr.RFE.X.zv.rcv.glmnet.prob
## 2091 0.7621309
## 2092 0.7456295
## 2093 0.7929111
## 2094 0.7639110
## 2095 0.7486126
## 2096 0.7821974
## Party.fctr.RFE.X.zv.rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.RFE.X.zv.rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.RFE.X.zv.rcv.glmnet.err.abs
## 2091 0.7621309
## 2092 0.7456295
## 2093 0.7929111
## 2094 0.7639110
## 2095 0.7486126
## 2096 0.7821974
## Party.fctr.RFE.X.scale.rcv.glmnet
## 2091 R
## 2092 R
## 2093 R
## 2094 R
## 2095 R
## 2096 R
## Party.fctr.RFE.X.scale.rcv.glmnet.prob
## 2091 0.7621309
## 2092 0.7456295
## 2093 0.7929111
## 2094 0.7639110
## 2095 0.7486126
## 2096 0.7821974
## Party.fctr.RFE.X.scale.rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.RFE.X.scale.rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.RFE.X.scale.rcv.glmnet.err.abs
## 2091 0.7621309
## 2092 0.7456295
## 2093 0.7929111
## 2094 0.7639110
## 2095 0.7486126
## 2096 0.7821974
## Party.fctr.RFE.X.center.rcv.glmnet
## 2091 R
## 2092 R
## 2093 R
## 2094 R
## 2095 R
## 2096 R
## Party.fctr.RFE.X.center.rcv.glmnet.prob
## 2091 0.7621309
## 2092 0.7456295
## 2093 0.7929111
## 2094 0.7639110
## 2095 0.7486126
## 2096 0.7821974
## Party.fctr.RFE.X.center.rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.RFE.X.center.rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.RFE.X.center.rcv.glmnet.err.abs
## 2091 0.7621309
## 2092 0.7456295
## 2093 0.7929111
## 2094 0.7639110
## 2095 0.7486126
## 2096 0.7821974
## Party.fctr.All.X.scale.rcv.glmnet
## 2091 R
## 2092 R
## 2093 R
## 2094 R
## 2095 R
## 2096 R
## Party.fctr.All.X.scale.rcv.glmnet.prob
## 2091 0.7621309
## 2092 0.7456295
## 2093 0.7929111
## 2094 0.7639110
## 2095 0.7486126
## 2096 0.7821974
## Party.fctr.All.X.scale.rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.All.X.scale.rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.All.X.scale.rcv.glmnet.err.abs
## 2091 0.7621309
## 2092 0.7456295
## 2093 0.7929111
## 2094 0.7639110
## 2095 0.7486126
## 2096 0.7821974
## Party.fctr.All.X.center.rcv.glmnet
## 2091 R
## 2092 R
## 2093 R
## 2094 R
## 2095 R
## 2096 R
## Party.fctr.All.X.center.rcv.glmnet.prob
## 2091 0.7621309
## 2092 0.7456295
## 2093 0.7929111
## 2094 0.7639110
## 2095 0.7486126
## 2096 0.7821974
## Party.fctr.All.X.center.rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.All.X.center.rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.All.X.center.rcv.glmnet.err.abs
## 2091 0.7621309
## 2092 0.7456295
## 2093 0.7929111
## 2094 0.7639110
## 2095 0.7486126
## 2096 0.7821974
## Party.fctr.RFE.X.range.rcv.glmnet
## 2091 R
## 2092 R
## 2093 R
## 2094 R
## 2095 R
## 2096 R
## Party.fctr.RFE.X.range.rcv.glmnet.prob
## 2091 0.7621309
## 2092 0.7456295
## 2093 0.7929111
## 2094 0.7639110
## 2095 0.7486126
## 2096 0.7821974
## Party.fctr.RFE.X.range.rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.RFE.X.range.rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.RFE.X.range.rcv.glmnet.err.abs
## 2091 0.7621309
## 2092 0.7456295
## 2093 0.7929111
## 2094 0.7639110
## 2095 0.7486126
## 2096 0.7821974
## Party.fctr.RFE.X.BoxCox.rcv.glmnet
## 2091 R
## 2092 R
## 2093 R
## 2094 R
## 2095 R
## 2096 R
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.prob
## 2091 0.7621309
## 2092 0.7456295
## 2093 0.7929111
## 2094 0.7639110
## 2095 0.7486126
## 2096 0.7821974
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.RFE.X.BoxCox.rcv.glmnet.err.abs
## 2091 0.7621309
## 2092 0.7456295
## 2093 0.7929111
## 2094 0.7639110
## 2095 0.7486126
## 2096 0.7821974
## Party.fctr.All.X.range.rcv.glmnet
## 2091 R
## 2092 R
## 2093 R
## 2094 R
## 2095 R
## 2096 R
## Party.fctr.All.X.range.rcv.glmnet.prob
## 2091 0.7621309
## 2092 0.7456295
## 2093 0.7929111
## 2094 0.7639110
## 2095 0.7486126
## 2096 0.7821974
## Party.fctr.All.X.range.rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.All.X.range.rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.All.X.range.rcv.glmnet.err.abs
## 2091 0.7621309
## 2092 0.7456295
## 2093 0.7929111
## 2094 0.7639110
## 2095 0.7486126
## 2096 0.7821974
## Party.fctr.All.X.BoxCox.rcv.glmnet
## 2091 R
## 2092 R
## 2093 R
## 2094 R
## 2095 R
## 2096 R
## Party.fctr.All.X.BoxCox.rcv.glmnet.prob
## 2091 0.7621309
## 2092 0.7456295
## 2093 0.7929111
## 2094 0.7639110
## 2095 0.7486126
## 2096 0.7821974
## Party.fctr.All.X.BoxCox.rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.All.X.BoxCox.rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.All.X.BoxCox.rcv.glmnet.err.abs
## 2091 0.7621309
## 2092 0.7456295
## 2093 0.7929111
## 2094 0.7639110
## 2095 0.7486126
## 2096 0.7821974
## Party.fctr.RFE.X.center.scale.rcv.glmnet
## 2091 R
## 2092 R
## 2093 R
## 2094 R
## 2095 R
## 2096 R
## Party.fctr.RFE.X.center.scale.rcv.glmnet.prob
## 2091 0.7621309
## 2092 0.7456295
## 2093 0.7929111
## 2094 0.7639110
## 2095 0.7486126
## 2096 0.7821974
## Party.fctr.RFE.X.center.scale.rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.RFE.X.center.scale.rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.RFE.X.center.scale.rcv.glmnet.err.abs
## 2091 0.7621309
## 2092 0.7456295
## 2093 0.7929111
## 2094 0.7639110
## 2095 0.7486126
## 2096 0.7821974
## Party.fctr.All.X.center.scale.rcv.glmnet
## 2091 R
## 2092 R
## 2093 R
## 2094 R
## 2095 R
## 2096 R
## Party.fctr.All.X.center.scale.rcv.glmnet.prob
## 2091 0.7621309
## 2092 0.7456295
## 2093 0.7929111
## 2094 0.7639110
## 2095 0.7486126
## 2096 0.7821974
## Party.fctr.All.X.center.scale.rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.All.X.center.scale.rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.All.X.center.scale.rcv.glmnet.err.abs
## 2091 0.7621309
## 2092 0.7456295
## 2093 0.7929111
## 2094 0.7639110
## 2095 0.7486126
## 2096 0.7821974
## Party.fctr.All.X.zv.pca.rcv.glmnet
## 2091 R
## 2092 R
## 2093 R
## 2094 R
## 2095 R
## 2096 R
## Party.fctr.All.X.zv.pca.rcv.glmnet.prob
## 2091 0.7225761
## 2092 0.7677672
## 2093 0.7562057
## 2094 0.7601074
## 2095 0.7978404
## 2096 0.8421323
## Party.fctr.All.X.zv.pca.rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.All.X.zv.pca.rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.All.X.zv.pca.rcv.glmnet.err.abs Party.fctr.RFE.X..rcv.gbm
## 2091 0.7225761 R
## 2092 0.7677672 R
## 2093 0.7562057 R
## 2094 0.7601074 R
## 2095 0.7978404 R
## 2096 0.8421323 R
## Party.fctr.RFE.X..rcv.gbm.prob Party.fctr.RFE.X..rcv.gbm.is.acc
## 2091 0.7365702 FALSE
## 2092 0.7283964 FALSE
## 2093 0.7591033 FALSE
## 2094 0.7595692 FALSE
## 2095 0.7561858 FALSE
## 2096 0.7370606 FALSE
## Party.fctr.RFE.X..rcv.gbm.err Party.fctr.RFE.X..rcv.gbm.err.abs
## 2091 TRUE 0.7365702
## 2092 TRUE 0.7283964
## 2093 TRUE 0.7591033
## 2094 TRUE 0.7595692
## 2095 TRUE 0.7561858
## 2096 TRUE 0.7370606
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet
## 2091 R
## 2092 R
## 2093 R
## 2094 R
## 2095 R
## 2096 R
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.prob
## 2091 0.6884009
## 2092 0.6687171
## 2093 0.7088661
## 2094 0.6940021
## 2095 0.7078276
## 2096 0.6746674
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.RFE.X.nzv.pca.spatialSign.rcv.glmnet.err.abs
## 2091 0.6884009
## 2092 0.6687171
## 2093 0.7088661
## 2094 0.6940021
## 2095 0.7078276
## 2096 0.6746674
## Party.fctr.RFE.X..rcv.earth Party.fctr.RFE.X..rcv.earth.prob
## 2091 R 0.8427150
## 2092 R 0.8102211
## 2093 R 0.8398609
## 2094 R 0.8345596
## 2095 R 0.7973086
## 2096 R 0.8324029
## Party.fctr.RFE.X..rcv.earth.is.acc Party.fctr.RFE.X..rcv.earth.err
## 2091 FALSE TRUE
## 2092 FALSE TRUE
## 2093 FALSE TRUE
## 2094 FALSE TRUE
## 2095 FALSE TRUE
## 2096 FALSE TRUE
## Party.fctr.RFE.X..rcv.earth.err.abs Party.fctr.RFE.X..rcv.glm
## 2091 0.8427150 R
## 2092 0.8102211 R
## 2093 0.8398609 R
## 2094 0.8345596 R
## 2095 0.7973086 R
## 2096 0.8324029 R
## Party.fctr.RFE.X..rcv.glm.prob Party.fctr.RFE.X..rcv.glm.is.acc
## 2091 0.8577277 FALSE
## 2092 0.8946750 FALSE
## 2093 0.7871710 FALSE
## 2094 0.8035760 FALSE
## 2095 0.8072220 FALSE
## 2096 0.9706172 FALSE
## Party.fctr.RFE.X..rcv.glm.err Party.fctr.RFE.X..rcv.glm.err.abs
## 2091 TRUE 0.8577277
## 2092 TRUE 0.8946750
## 2093 TRUE 0.7871710
## 2094 TRUE 0.8035760
## 2095 TRUE 0.8072220
## 2096 TRUE 0.9706172
## Party.fctr.All.X..rcv.glm Party.fctr.All.X..rcv.glm.prob
## 2091 R 0.8577640
## 2092 R 0.8928948
## 2093 R 0.7904827
## 2094 R 0.7980782
## 2095 R 0.8057473
## 2096 R 0.9763278
## Party.fctr.All.X..rcv.glm.is.acc Party.fctr.All.X..rcv.glm.err
## 2091 FALSE TRUE
## 2092 FALSE TRUE
## 2093 FALSE TRUE
## 2094 FALSE TRUE
## 2095 FALSE TRUE
## 2096 FALSE TRUE
## Party.fctr.All.X..rcv.glm.err.abs Party.fctr.RFE.X..rcv.rf
## 2091 0.8577640 D
## 2092 0.8928948 D
## 2093 0.7904827 R
## 2094 0.7980782 R
## 2095 0.8057473 D
## 2096 0.9763278 D
## Party.fctr.RFE.X..rcv.rf.prob Party.fctr.RFE.X..rcv.rf.is.acc
## 2091 0.296 TRUE
## 2092 0.290 TRUE
## 2093 0.748 FALSE
## 2094 0.756 FALSE
## 2095 0.254 TRUE
## 2096 0.634 TRUE
## Party.fctr.RFE.X..rcv.rf.err Party.fctr.RFE.X..rcv.rf.err.abs
## 2091 FALSE 0.296
## 2092 FALSE 0.290
## 2093 TRUE 0.748
## 2094 TRUE 0.756
## 2095 FALSE 0.254
## 2096 FALSE 0.634
## Party.fctr.RFE.X..rcv.avNNet Party.fctr.RFE.X..rcv.avNNet.prob
## 2091 R 0.7823527
## 2092 R 0.6879154
## 2093 R 0.7823527
## 2094 R 0.7823527
## 2095 R 0.7823527
## 2096 R 0.7823527
## Party.fctr.RFE.X..rcv.avNNet.is.acc Party.fctr.RFE.X..rcv.avNNet.err
## 2091 FALSE TRUE
## 2092 FALSE TRUE
## 2093 FALSE TRUE
## 2094 FALSE TRUE
## 2095 FALSE TRUE
## 2096 FALSE TRUE
## Party.fctr.RFE.X..rcv.avNNet.err.abs Party.fctr.RFE.X..rcv.nnet
## 2091 0.7823527 R
## 2092 0.6879154 R
## 2093 0.7823527 D
## 2094 0.7823527 R
## 2095 0.7823527 R
## 2096 0.7823527 R
## Party.fctr.RFE.X..rcv.nnet.prob Party.fctr.RFE.X..rcv.nnet.is.acc
## 2091 0.7480462 FALSE
## 2092 0.7480114 FALSE
## 2093 0.5494767 TRUE
## 2094 0.7478350 FALSE
## 2095 0.7477999 FALSE
## 2096 0.7480751 FALSE
## Party.fctr.RFE.X..rcv.nnet.err Party.fctr.RFE.X..rcv.nnet.err.abs
## 2091 TRUE 0.7480462
## 2092 TRUE 0.7480114
## 2093 FALSE 0.5494767
## 2094 TRUE 0.7478350
## 2095 TRUE 0.7477999
## 2096 TRUE 0.7480751
## Party.fctr.RFE.X.ica.rcv.glmnet Party.fctr.RFE.X.ica.rcv.glmnet.prob
## 2091 D 0.5188765
## 2092 D 0.4647875
## 2093 D 0.4884713
## 2094 D 0.4441462
## 2095 D 0.4834831
## 2096 D 0.4079638
## Party.fctr.RFE.X.ica.rcv.glmnet.is.acc
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.RFE.X.ica.rcv.glmnet.err
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.RFE.X.ica.rcv.glmnet.err.abs
## 2091 0.5188765
## 2092 0.4647875
## 2093 0.4884713
## 2094 0.4441462
## 2095 0.4834831
## 2096 0.4079638
## Party.fctr.All.X.ica.rcv.glmnet Party.fctr.All.X.ica.rcv.glmnet.prob
## 2091 D 0.5142442
## 2092 D 0.4691686
## 2093 D 0.4890337
## 2094 D 0.4473335
## 2095 D 0.4887993
## 2096 D 0.4080377
## Party.fctr.All.X.ica.rcv.glmnet.is.acc
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.All.X.ica.rcv.glmnet.err
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.All.X.ica.rcv.glmnet.err.abs
## 2091 0.5142442
## 2092 0.4691686
## 2093 0.4890337
## 2094 0.4473335
## 2095 0.4887993
## 2096 0.4080377
## Party.fctr.Interact.High.cor.Y..rcv.glmnet
## 2091 D
## 2092 D
## 2093 D
## 2094 D
## 2095 D
## 2096 R
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.prob
## 2091 0.6287407
## 2092 0.6462271
## 2093 0.6174662
## 2094 0.5772760
## 2095 0.6411002
## 2096 0.7198149
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.is.acc
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 FALSE
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.err
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 TRUE
## Party.fctr.Interact.High.cor.Y..rcv.glmnet.err.abs
## 2091 0.6287407
## 2092 0.6462271
## 2093 0.6174662
## 2094 0.5772760
## 2095 0.6411002
## 2096 0.7198149
## Party.fctr.Ensemble.auto.2..rcv.glmnet.prob
## 2091 0.8568837
## 2092 0.8449626
## 2093 NA
## 2094 NA
## 2095 0.8733823
## 2096 NA
## Party.fctr.Ensemble.auto.2..rcv.glmnet
## 2091 R
## 2092 R
## 2093 <NA>
## 2094 <NA>
## 2095 R
## 2096 <NA>
## Party.fctr.Ensemble.auto.2..rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 NA
## 2094 NA
## 2095 TRUE
## 2096 NA
## Party.fctr.Ensemble.auto.2..rcv.glmnet.err.abs
## 2091 0.8568837
## 2092 0.8449626
## 2093 NA
## 2094 NA
## 2095 0.8733823
## 2096 NA
## Party.fctr.Ensemble.auto.2..rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 NA
## 2094 NA
## 2095 FALSE
## 2096 NA
## Party.fctr.Final.RFE.X.Inc..rcv.bagEarth.prob
## 2091 0.8366347
## 2092 0.8362552
## 2093 0.8384290
## 2094 0.8350554
## 2095 0.8394247
## 2096 0.8442049
## Party.fctr.Final.RFE.X.Inc..rcv.bagEarth
## 2091 R
## 2092 R
## 2093 R
## 2094 R
## 2095 R
## 2096 R
## Party.fctr.Final.RFE.X.Inc..rcv.bagEarth.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.Final.RFE.X.Inc..rcv.bagEarth.err.abs
## 2091 0.8366347
## 2092 0.8362552
## 2093 0.8384290
## 2094 0.8350554
## 2095 0.8394247
## 2096 0.8442049
## Party.fctr.Final.RFE.X.Inc..rcv.bagEarth.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.Final.All.X.ica.rcv.glmnet.prob
## 2091 0.5142442
## 2092 0.4691686
## 2093 0.4890337
## 2094 0.4473335
## 2095 0.4887993
## 2096 0.4080377
## Party.fctr.Final.All.X.ica.rcv.glmnet
## 2091 D
## 2092 D
## 2093 D
## 2094 D
## 2095 D
## 2096 D
## Party.fctr.Final.All.X.ica.rcv.glmnet.err
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.Final.All.X.ica.rcv.glmnet.err.abs
## 2091 0.5142442
## 2092 0.4691686
## 2093 0.4890337
## 2094 0.4473335
## 2095 0.4887993
## 2096 0.4080377
## Party.fctr.Final.All.X.ica.rcv.glmnet.is.acc
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.Final.Ensemble.auto.2..rcv.glmnet.prob
## 2091 0.8566931
## 2092 0.8593542
## 2093 0.8595136
## 2094 0.8599621
## 2095 0.8601832
## 2096 0.8682690
## Party.fctr.Final.Ensemble.auto.2..rcv.glmnet
## 2091 R
## 2092 R
## 2093 R
## 2094 R
## 2095 R
## 2096 R
## Party.fctr.Final.Ensemble.auto.2..rcv.glmnet.err
## 2091 TRUE
## 2092 TRUE
## 2093 TRUE
## 2094 TRUE
## 2095 TRUE
## 2096 TRUE
## Party.fctr.Final.Ensemble.auto.2..rcv.glmnet.err.abs
## 2091 0.8566931
## 2092 0.8593542
## 2093 0.8595136
## 2094 0.8599621
## 2095 0.8601832
## 2096 0.8682690
## Party.fctr.Final.Ensemble.auto.2..rcv.glmnet.is.acc
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.Final.Ensemble.auto.2..rcv.glmnet.accurate
## 2091 FALSE
## 2092 FALSE
## 2093 FALSE
## 2094 FALSE
## 2095 FALSE
## 2096 FALSE
## Party.fctr.Final.Ensemble.auto.2..rcv.glmnet.error
## 2091 0.2066931
## 2092 0.2093542
## 2093 0.2095136
## 2094 0.2099621
## 2095 0.2101832
## 2096 0.2182690
dsp_feats_vctr <- c(NULL)
for(var in grep(".imp", names(glb_feats_df), fixed=TRUE, value=TRUE))
dsp_feats_vctr <- union(dsp_feats_vctr,
glb_feats_df[!is.na(glb_feats_df[, var]), "id"])
# print(glbObsTrn[glbObsTrn$UniqueID %in% FN_OOB_ids,
# grep(glb_rsp_var, names(glbObsTrn), value=TRUE)])
print(setdiff(names(glbObsTrn), names(glbObsAll)))## [1] "Party.fctr.Final.RFE.X.Inc..rcv.bagEarth.prob"
## [2] "Party.fctr.Final.RFE.X.Inc..rcv.bagEarth"
## [3] "Party.fctr.Final.RFE.X.Inc..rcv.bagEarth.err"
## [4] "Party.fctr.Final.RFE.X.Inc..rcv.bagEarth.err.abs"
## [5] "Party.fctr.Final.RFE.X.Inc..rcv.bagEarth.is.acc"
## [6] "Party.fctr.Final.All.X.ica.rcv.glmnet.prob"
## [7] "Party.fctr.Final.All.X.ica.rcv.glmnet"
## [8] "Party.fctr.Final.All.X.ica.rcv.glmnet.err"
## [9] "Party.fctr.Final.All.X.ica.rcv.glmnet.err.abs"
## [10] "Party.fctr.Final.All.X.ica.rcv.glmnet.is.acc"
## [11] "Party.fctr.Final.Ensemble.auto.2..rcv.glmnet.prob"
## [12] "Party.fctr.Final.Ensemble.auto.2..rcv.glmnet"
## [13] "Party.fctr.Final.Ensemble.auto.2..rcv.glmnet.err"
## [14] "Party.fctr.Final.Ensemble.auto.2..rcv.glmnet.err.abs"
## [15] "Party.fctr.Final.Ensemble.auto.2..rcv.glmnet.is.acc"for (col in setdiff(names(glbObsTrn), names(glbObsAll)))
# Merge or cbind ?
glbObsAll[glbObsAll$.src == "Train", col] <- glbObsTrn[, col]
print(setdiff(names(glbObsFit), names(glbObsAll)))## character(0)print(setdiff(names(glbObsOOB), names(glbObsAll)))## character(0)for (col in setdiff(names(glbObsOOB), names(glbObsAll)))
# Merge or cbind ?
glbObsAll[glbObsAll$.lcn == "OOB", col] <- glbObsOOB[, col]
print(setdiff(names(glbObsNew), names(glbObsAll)))## character(0)#glb2Sav(); all.equal(savObsAll, glbObsAll); all.equal(sav_models_lst, glb_models_lst)
#load(file = paste0(glbOut$pfx, "dsk_knitr.RData"))
#cmpCols <- names(glbObsAll)[!grepl("\\.Final\\.", names(glbObsAll))]; all.equal(savObsAll[, cmpCols], glbObsAll[, cmpCols]); all.equal(savObsAll[, "H.P.http"], glbObsAll[, "H.P.http"]);
replay.petrisim(pn = glb_analytics_pn,
replay.trans = (glb_analytics_avl_objs <- c(glb_analytics_avl_objs,
"data.training.all.prediction","model.final")), flip_coord = TRUE)## time trans "bgn " "fit.data.training.all " "predict.data.new " "end "
## 0.0000 multiple enabled transitions: data.training.all data.new model.selected firing: model.selected
## 1.0000 3 2 1 0 0
## 1.0000 multiple enabled transitions: data.training.all data.new model.selected model.final data.training.all.prediction firing: data.training.all.prediction
## 2.0000 5 2 0 0 1## Warning in replay.petrisim(pn = glb_analytics_pn, replay.trans =
## (glb_analytics_avl_objs <- c(glb_analytics_avl_objs, : Transition:
## model.final not enabled; adding missing token(s)## Warning in replay.petrisim(pn = glb_analytics_pn, replay.trans
## = (glb_analytics_avl_objs <- c(glb_analytics_avl_objs, : Place:
## fit.data.training.all: added 1 missing token## 2.0000 multiple enabled transitions: data.training.all data.new model.selected model.final data.training.all.prediction firing: model.final
## 3.0000 4 2 0 1 1
glb_chunks_df <- myadd_chunk(glb_chunks_df, "predict.data.new", major.inc = TRUE)## label step_major step_minor label_minor bgn end
## 4 fit.data.training 2 1 1 1668.862 1778.672
## 5 predict.data.new 3 0 0 1778.673 NA
## elapsed
## 4 109.81
## 5 NAStep 3.0: predict data new
## Warning: Removed 1392 rows containing missing values (geom_point).
## Warning: Removed 1392 rows containing missing values (geom_point).
## Warning: Removed 1392 rows containing missing values (geom_point).
## Warning: Removed 1392 rows containing missing values (geom_point).
## NULL## Loading required package: tidyr##
## Attaching package: 'tidyr'## The following object is masked from 'package:Matrix':
##
## expand## [1] "OOBobs total range outliers: 0"
## [1] "newobs total range outliers: 0"## [1] 0.65## [1] "glbMdlSelId: Ensemble.auto.2##rcv#glmnet"## [1] "glbMdlFinId: Final.Ensemble.auto.2##rcv#glmnet"## [1] "Cross Validation issues:"
## Final.RFE.X.Inc##rcv#bagEarth
## 0## max.Accuracy.OOB max.AUCROCR.OOB
## Ensemble.auto.2##rcv#glmnet 0.5883408 0.5840502
## Final.Ensemble.auto.2##rcv#glmnet 0.5883408 0.5840502
## Ensemble.auto.1##rcv#glmnet 0.5856502 0.5840728
## RFE.X.Inc##rcv#bagEarth 0.5838565 0.5840728
## RFE.X##rcv#bagEarth 0.5838565 0.5829523
## RFE.X#zv.pca#rcv#glmnet 0.5829596 0.5816510
## All.X#nzv.spatialSign#rcv#glmnet 0.5820628 0.5787416
## All.X#spatialSign#rcv#glmnet 0.5811659 0.5793099
## RFE.X#nzv.spatialSign#rcv#glmnet 0.5811659 0.5785672
## All.X.Inc#nzv.spatialSign#rcv#glmnet 0.5811659 0.5734523
## RFE.X#spatialSign#rcv#glmnet 0.5802691 0.5794035
## All.X#nzv#rcv#glmnet 0.5775785 0.5766539
## RFE.X#nzv#rcv#glmnet 0.5775785 0.5762019
## All.X#expoTrans#rcv#glmnet 0.5775785 0.5745421
## RFE.X#expoTrans#rcv#glmnet 0.5775785 0.5745421
## All.X#YeoJohnson#rcv#glmnet 0.5775785 0.5744824
## RFE.X#YeoJohnson#rcv#glmnet 0.5775785 0.5744824
## RFE.X##rcv#rpart 0.5775785 0.5547284
## RFE.X##rcv#glmnet 0.5766816 0.5757966
## All.X#conditionalX#rcv#glmnet 0.5766816 0.5757966
## All.X##rcv#glmnet 0.5766816 0.5757966
## Low.cor.X##rcv#glmnet 0.5766816 0.5757966
## RFE.X#conditionalX#rcv#glmnet 0.5766816 0.5757966
## All.X#zv#rcv#glmnet 0.5766816 0.5757966
## RFE.X#zv#rcv#glmnet 0.5766816 0.5757966
## RFE.X#scale#rcv#glmnet 0.5766816 0.5757966
## RFE.X#center#rcv#glmnet 0.5766816 0.5757966
## All.X#scale#rcv#glmnet 0.5766816 0.5757966
## All.X#center#rcv#glmnet 0.5766816 0.5757966
## RFE.X#range#rcv#glmnet 0.5766816 0.5757966
## RFE.X#BoxCox#rcv#glmnet 0.5766816 0.5757966
## All.X#range#rcv#glmnet 0.5766816 0.5757966
## All.X#BoxCox#rcv#glmnet 0.5766816 0.5757966
## RFE.X#center.scale#rcv#glmnet 0.5766816 0.5757966
## All.X#center.scale#rcv#glmnet 0.5766816 0.5757966
## All.X#zv.pca#rcv#glmnet 0.5748879 0.5798104
## RFE.X##rcv#gbm 0.5730942 0.5783993
## Ensemble.auto.2##adaptive_cv#glmnet 0.5730942 0.5594251
## RFE.X#nzv.pca.spatialSign#rcv#glmnet 0.5713004 0.5742305
## Ensemble.auto.3##rcv#glmnet 0.5695067 0.5609040
## RFE.X##rcv#earth 0.5677130 0.5720864
## RFE.X##rcv#glm 0.5668161 0.5690413
## Ensemble.auto.2##cv#glmnet 0.5659193 0.5560006
## Ensemble.auto.2##LGOCV#glmnet 0.5659193 0.5560006
## Ensemble.auto.6##rcv#glmnet 0.5659193 0.5560006
## Ensemble.auto.8##rcv#glmnet 0.5659193 0.5560006
## Ensemble.auto.7##rcv#glmnet 0.5659193 0.5560006
## Ensemble.auto.9##rcv#glmnet 0.5659193 0.5560006
## Ensemble.auto.11##rcv#glmnet 0.5659193 0.5560006
## Ensemble.auto.12##rcv#glmnet 0.5659193 0.5560006
## Ensemble.auto.10##rcv#glmnet 0.5659193 0.5560006
## Ensemble.auto.13##rcv#glmnet 0.5659193 0.5560006
## Ensemble.auto.14##rcv#glmnet 0.5659193 0.5560006
## Ensemble.auto.15##rcv#glmnet 0.5659193 0.5560006
## Ensemble.auto.2##boot#glmnet 0.5659193 0.5560006
## Ensemble.auto.2##boot632#glmnet 0.5659193 0.5560006
## All.X##rcv#glm 0.5650224 0.5687249
## RFE.X##rcv#rf 0.5650224 0.5510859
## RFE.X##rcv#avNNet 0.5632287 0.5713598
## Ensemble.auto.4##rcv#glmnet 0.5632287 0.5536838
## RFE.X##rcv#nnet 0.5623318 0.5667713
## Ensemble.auto.5##rcv#glmnet 0.5623318 0.5556826
## RFE.X#ica#rcv#glmnet 0.5363229 0.5370894
## All.X#ica#rcv#glmnet 0.5354260 0.5360626
## Interact.High.cor.Y##rcv#glmnet 0.5345291 0.5242069
## Random###myrandom_classfr 0.5300448 0.5181895
## Max.cor.Y.rcv.1X1###glmnet 0.5300448 0.5102459
## Max.cor.Y##rcv#rpart 0.5300448 0.5000646
## MFO###myMFO_classfr 0.5300448 0.5000000
## Final.All.X#ica#rcv#glmnet NA NA
## Final.RFE.X.Inc##rcv#bagEarth NA NA
## max.AUCpROC.OOB
## Ensemble.auto.2##rcv#glmnet 0.5667761
## Final.Ensemble.auto.2##rcv#glmnet 0.5667761
## Ensemble.auto.1##rcv#glmnet 0.5677303
## RFE.X.Inc##rcv#bagEarth 0.5671007
## RFE.X##rcv#bagEarth 0.5601161
## RFE.X#zv.pca#rcv#glmnet 0.5792308
## All.X#nzv.spatialSign#rcv#glmnet 0.5572148
## All.X#spatialSign#rcv#glmnet 0.5570372
## RFE.X#nzv.spatialSign#rcv#glmnet 0.5597528
## All.X.Inc#nzv.spatialSign#rcv#glmnet 0.5556503
## RFE.X#spatialSign#rcv#glmnet 0.5570372
## All.X#nzv#rcv#glmnet 0.5550900
## RFE.X#nzv#rcv#glmnet 0.5531816
## All.X#expoTrans#rcv#glmnet 0.5559554
## RFE.X#expoTrans#rcv#glmnet 0.5559554
## All.X#YeoJohnson#rcv#glmnet 0.5559554
## RFE.X#YeoJohnson#rcv#glmnet 0.5559554
## RFE.X##rcv#rpart 0.5677723
## RFE.X##rcv#glmnet 0.5588180
## All.X#conditionalX#rcv#glmnet 0.5588180
## All.X##rcv#glmnet 0.5588180
## Low.cor.X##rcv#glmnet 0.5588180
## RFE.X#conditionalX#rcv#glmnet 0.5588180
## All.X#zv#rcv#glmnet 0.5588180
## RFE.X#zv#rcv#glmnet 0.5588180
## RFE.X#scale#rcv#glmnet 0.5588180
## RFE.X#center#rcv#glmnet 0.5588180
## All.X#scale#rcv#glmnet 0.5588180
## All.X#center#rcv#glmnet 0.5588180
## RFE.X#range#rcv#glmnet 0.5588180
## RFE.X#BoxCox#rcv#glmnet 0.5588180
## All.X#range#rcv#glmnet 0.5588180
## All.X#BoxCox#rcv#glmnet 0.5588180
## RFE.X#center.scale#rcv#glmnet 0.5588180
## All.X#center.scale#rcv#glmnet 0.5588180
## All.X#zv.pca#rcv#glmnet 0.5717247
## RFE.X##rcv#gbm 0.5638748
## Ensemble.auto.2##adaptive_cv#glmnet 0.5501802
## RFE.X#nzv.pca.spatialSign#rcv#glmnet 0.5545298
## Ensemble.auto.3##rcv#glmnet 0.5510956
## RFE.X##rcv#earth 0.5641493
## RFE.X##rcv#glm 0.5497475
## Ensemble.auto.2##cv#glmnet 0.5521580
## Ensemble.auto.2##LGOCV#glmnet 0.5521580
## Ensemble.auto.6##rcv#glmnet 0.5521580
## Ensemble.auto.8##rcv#glmnet 0.5521580
## Ensemble.auto.7##rcv#glmnet 0.5521580
## Ensemble.auto.9##rcv#glmnet 0.5521580
## Ensemble.auto.11##rcv#glmnet 0.5521580
## Ensemble.auto.12##rcv#glmnet 0.5521580
## Ensemble.auto.10##rcv#glmnet 0.5521580
## Ensemble.auto.13##rcv#glmnet 0.5521580
## Ensemble.auto.14##rcv#glmnet 0.5521580
## Ensemble.auto.15##rcv#glmnet 0.5521580
## Ensemble.auto.2##boot#glmnet 0.5521580
## Ensemble.auto.2##boot632#glmnet 0.5521580
## All.X##rcv#glm 0.5487933
## RFE.X##rcv#rf 0.5382083
## RFE.X##rcv#avNNet 0.5593589
## Ensemble.auto.4##rcv#glmnet 0.5491679
## RFE.X##rcv#nnet 0.5584628
## Ensemble.auto.5##rcv#glmnet 0.5401861
## RFE.X#ica#rcv#glmnet 0.5121737
## All.X#ica#rcv#glmnet 0.5133442
## Interact.High.cor.Y##rcv#glmnet 0.5218093
## Random###myrandom_classfr 0.4836608
## Max.cor.Y.rcv.1X1###glmnet 0.4999322
## Max.cor.Y##rcv#rpart 0.4999322
## MFO###myMFO_classfr 0.5000000
## Final.All.X#ica#rcv#glmnet NA
## Final.RFE.X.Inc##rcv#bagEarth NA
## min.elapsedtime.everything
## Ensemble.auto.2##rcv#glmnet 2.362
## Final.Ensemble.auto.2##rcv#glmnet 2.362
## Ensemble.auto.1##rcv#glmnet 2.493
## RFE.X.Inc##rcv#bagEarth 1752.739
## RFE.X##rcv#bagEarth 884.423
## RFE.X#zv.pca#rcv#glmnet 74.676
## All.X#nzv.spatialSign#rcv#glmnet 52.416
## All.X#spatialSign#rcv#glmnet 36.885
## RFE.X#nzv.spatialSign#rcv#glmnet 51.794
## All.X.Inc#nzv.spatialSign#rcv#glmnet 67.172
## RFE.X#spatialSign#rcv#glmnet 46.699
## All.X#nzv#rcv#glmnet 36.115
## RFE.X#nzv#rcv#glmnet 34.109
## All.X#expoTrans#rcv#glmnet 70.569
## RFE.X#expoTrans#rcv#glmnet 71.462
## All.X#YeoJohnson#rcv#glmnet 58.542
## RFE.X#YeoJohnson#rcv#glmnet 84.187
## RFE.X##rcv#rpart 15.749
## RFE.X##rcv#glmnet 21.949
## All.X#conditionalX#rcv#glmnet 22.580
## All.X##rcv#glmnet 22.609
## Low.cor.X##rcv#glmnet 22.775
## RFE.X#conditionalX#rcv#glmnet 23.022
## All.X#zv#rcv#glmnet 23.568
## RFE.X#zv#rcv#glmnet 24.269
## RFE.X#scale#rcv#glmnet 25.649
## RFE.X#center#rcv#glmnet 25.755
## All.X#scale#rcv#glmnet 26.279
## All.X#center#rcv#glmnet 26.891
## RFE.X#range#rcv#glmnet 27.116
## RFE.X#BoxCox#rcv#glmnet 28.258
## All.X#range#rcv#glmnet 28.776
## All.X#BoxCox#rcv#glmnet 29.405
## RFE.X#center.scale#rcv#glmnet 29.657
## All.X#center.scale#rcv#glmnet 30.287
## All.X#zv.pca#rcv#glmnet 77.239
## RFE.X##rcv#gbm 81.851
## Ensemble.auto.2##adaptive_cv#glmnet 5.425
## RFE.X#nzv.pca.spatialSign#rcv#glmnet 533.967
## Ensemble.auto.3##rcv#glmnet 3.061
## RFE.X##rcv#earth 166.648
## RFE.X##rcv#glm 12.435
## Ensemble.auto.2##cv#glmnet 2.656
## Ensemble.auto.2##LGOCV#glmnet 2.757
## Ensemble.auto.6##rcv#glmnet 2.971
## Ensemble.auto.8##rcv#glmnet 3.096
## Ensemble.auto.7##rcv#glmnet 3.146
## Ensemble.auto.9##rcv#glmnet 3.219
## Ensemble.auto.11##rcv#glmnet 3.455
## Ensemble.auto.12##rcv#glmnet 3.472
## Ensemble.auto.10##rcv#glmnet 3.676
## Ensemble.auto.13##rcv#glmnet 3.698
## Ensemble.auto.14##rcv#glmnet 3.855
## Ensemble.auto.15##rcv#glmnet 3.881
## Ensemble.auto.2##boot#glmnet 5.048
## Ensemble.auto.2##boot632#glmnet 7.233
## All.X##rcv#glm 14.312
## RFE.X##rcv#rf 83.830
## RFE.X##rcv#avNNet 182.550
## Ensemble.auto.4##rcv#glmnet 2.831
## RFE.X##rcv#nnet 90.316
## Ensemble.auto.5##rcv#glmnet 3.313
## RFE.X#ica#rcv#glmnet 39.908
## All.X#ica#rcv#glmnet 41.240
## Interact.High.cor.Y##rcv#glmnet 5.284
## Random###myrandom_classfr 0.265
## Max.cor.Y.rcv.1X1###glmnet 0.753
## Max.cor.Y##rcv#rpart 1.624
## MFO###myMFO_classfr 0.399
## Final.All.X#ica#rcv#glmnet 52.873
## Final.RFE.X.Inc##rcv#bagEarth 1094.474
## max.Accuracy.fit
## Ensemble.auto.2##rcv#glmnet 0.6846348
## Final.Ensemble.auto.2##rcv#glmnet 0.6846348
## Ensemble.auto.1##rcv#glmnet 0.6842608
## RFE.X.Inc##rcv#bagEarth 0.6169886
## RFE.X##rcv#bagEarth 0.6288811
## RFE.X#zv.pca#rcv#glmnet 0.6459313
## All.X#nzv.spatialSign#rcv#glmnet 0.6478785
## All.X#spatialSign#rcv#glmnet 0.6492270
## RFE.X#nzv.spatialSign#rcv#glmnet 0.6462317
## All.X.Inc#nzv.spatialSign#rcv#glmnet 0.6440612
## RFE.X#spatialSign#rcv#glmnet 0.6490772
## All.X#nzv#rcv#glmnet 0.6475806
## RFE.X#nzv#rcv#glmnet 0.6466826
## All.X#expoTrans#rcv#glmnet 0.6463076
## RFE.X#expoTrans#rcv#glmnet 0.6462327
## All.X#YeoJohnson#rcv#glmnet 0.6465321
## RFE.X#YeoJohnson#rcv#glmnet 0.6466820
## RFE.X##rcv#rpart 0.6207805
## RFE.X##rcv#glmnet 0.6475052
## All.X#conditionalX#rcv#glmnet 0.6471308
## All.X##rcv#glmnet 0.6471308
## Low.cor.X##rcv#glmnet 0.6471308
## RFE.X#conditionalX#rcv#glmnet 0.6475052
## All.X#zv#rcv#glmnet 0.6471308
## RFE.X#zv#rcv#glmnet 0.6475052
## RFE.X#scale#rcv#glmnet 0.6475052
## RFE.X#center#rcv#glmnet 0.6475052
## All.X#scale#rcv#glmnet 0.6471308
## All.X#center#rcv#glmnet 0.6471308
## RFE.X#range#rcv#glmnet 0.6475052
## RFE.X#BoxCox#rcv#glmnet 0.6475052
## All.X#range#rcv#glmnet 0.6471308
## All.X#BoxCox#rcv#glmnet 0.6471308
## RFE.X#center.scale#rcv#glmnet 0.6475052
## All.X#center.scale#rcv#glmnet 0.6471308
## All.X#zv.pca#rcv#glmnet 0.6421158
## RFE.X##rcv#gbm 0.6477310
## Ensemble.auto.2##adaptive_cv#glmnet 1.0000000
## RFE.X#nzv.pca.spatialSign#rcv#glmnet 0.6480297
## Ensemble.auto.3##rcv#glmnet 1.0000000
## RFE.X##rcv#earth 0.6400213
## RFE.X##rcv#glm 0.6255716
## Ensemble.auto.2##cv#glmnet 1.0000000
## Ensemble.auto.2##LGOCV#glmnet 1.0000000
## Ensemble.auto.6##rcv#glmnet 1.0000000
## Ensemble.auto.8##rcv#glmnet 1.0000000
## Ensemble.auto.7##rcv#glmnet 1.0000000
## Ensemble.auto.9##rcv#glmnet 1.0000000
## Ensemble.auto.11##rcv#glmnet 1.0000000
## Ensemble.auto.12##rcv#glmnet 1.0000000
## Ensemble.auto.10##rcv#glmnet 1.0000000
## Ensemble.auto.13##rcv#glmnet 1.0000000
## Ensemble.auto.14##rcv#glmnet 1.0000000
## Ensemble.auto.15##rcv#glmnet 1.0000000
## Ensemble.auto.2##boot#glmnet 1.0000000
## Ensemble.auto.2##boot632#glmnet 1.0000000
## All.X##rcv#glm 0.6254219
## RFE.X##rcv#rf 1.0000000
## RFE.X##rcv#avNNet 0.6367252
## Ensemble.auto.4##rcv#glmnet 1.0000000
## RFE.X##rcv#nnet 0.6155403
## Ensemble.auto.5##rcv#glmnet 1.0000000
## RFE.X#ica#rcv#glmnet 0.5603719
## All.X#ica#rcv#glmnet 0.5607462
## Interact.High.cor.Y##rcv#glmnet 0.6250526
## Random###myrandom_classfr 0.5299798
## Max.cor.Y.rcv.1X1###glmnet 0.6240737
## Max.cor.Y##rcv#rpart 0.6227308
## MFO###myMFO_classfr 0.5299798
## Final.All.X#ica#rcv#glmnet 0.5525619
## Final.RFE.X.Inc##rcv#bagEarth 0.6646911
## opt.prob.threshold.fit
## Ensemble.auto.2##rcv#glmnet 0.50
## Final.Ensemble.auto.2##rcv#glmnet 0.50
## Ensemble.auto.1##rcv#glmnet 0.50
## RFE.X.Inc##rcv#bagEarth 0.50
## RFE.X##rcv#bagEarth 0.50
## RFE.X#zv.pca#rcv#glmnet 0.50
## All.X#nzv.spatialSign#rcv#glmnet 0.50
## All.X#spatialSign#rcv#glmnet 0.50
## RFE.X#nzv.spatialSign#rcv#glmnet 0.50
## All.X.Inc#nzv.spatialSign#rcv#glmnet 0.50
## RFE.X#spatialSign#rcv#glmnet 0.50
## All.X#nzv#rcv#glmnet 0.50
## RFE.X#nzv#rcv#glmnet 0.50
## All.X#expoTrans#rcv#glmnet 0.50
## RFE.X#expoTrans#rcv#glmnet 0.50
## All.X#YeoJohnson#rcv#glmnet 0.50
## RFE.X#YeoJohnson#rcv#glmnet 0.50
## RFE.X##rcv#rpart 0.50
## RFE.X##rcv#glmnet 0.50
## All.X#conditionalX#rcv#glmnet 0.50
## All.X##rcv#glmnet 0.50
## Low.cor.X##rcv#glmnet 0.50
## RFE.X#conditionalX#rcv#glmnet 0.50
## All.X#zv#rcv#glmnet 0.50
## RFE.X#zv#rcv#glmnet 0.50
## RFE.X#scale#rcv#glmnet 0.50
## RFE.X#center#rcv#glmnet 0.50
## All.X#scale#rcv#glmnet 0.50
## All.X#center#rcv#glmnet 0.50
## RFE.X#range#rcv#glmnet 0.50
## RFE.X#BoxCox#rcv#glmnet 0.50
## All.X#range#rcv#glmnet 0.50
## All.X#BoxCox#rcv#glmnet 0.50
## RFE.X#center.scale#rcv#glmnet 0.50
## All.X#center.scale#rcv#glmnet 0.50
## All.X#zv.pca#rcv#glmnet 0.50
## RFE.X##rcv#gbm 0.50
## Ensemble.auto.2##adaptive_cv#glmnet 0.50
## RFE.X#nzv.pca.spatialSign#rcv#glmnet 0.50
## Ensemble.auto.3##rcv#glmnet 0.50
## RFE.X##rcv#earth 0.50
## RFE.X##rcv#glm 0.50
## Ensemble.auto.2##cv#glmnet 0.50
## Ensemble.auto.2##LGOCV#glmnet 0.50
## Ensemble.auto.6##rcv#glmnet 0.50
## Ensemble.auto.8##rcv#glmnet 0.50
## Ensemble.auto.7##rcv#glmnet 0.50
## Ensemble.auto.9##rcv#glmnet 0.50
## Ensemble.auto.11##rcv#glmnet 0.50
## Ensemble.auto.12##rcv#glmnet 0.50
## Ensemble.auto.10##rcv#glmnet 0.50
## Ensemble.auto.13##rcv#glmnet 0.50
## Ensemble.auto.14##rcv#glmnet 0.50
## Ensemble.auto.15##rcv#glmnet 0.50
## Ensemble.auto.2##boot#glmnet 0.50
## Ensemble.auto.2##boot632#glmnet 0.50
## All.X##rcv#glm 0.50
## RFE.X##rcv#rf 0.50
## RFE.X##rcv#avNNet 0.50
## Ensemble.auto.4##rcv#glmnet 0.50
## RFE.X##rcv#nnet 0.50
## Ensemble.auto.5##rcv#glmnet 0.50
## RFE.X#ica#rcv#glmnet 0.50
## All.X#ica#rcv#glmnet 0.50
## Interact.High.cor.Y##rcv#glmnet 0.50
## Random###myrandom_classfr 0.55
## Max.cor.Y.rcv.1X1###glmnet 0.45
## Max.cor.Y##rcv#rpart 0.50
## MFO###myMFO_classfr 0.50
## Final.All.X#ica#rcv#glmnet 0.50
## Final.RFE.X.Inc##rcv#bagEarth 0.50
## opt.prob.threshold.OOB
## Ensemble.auto.2##rcv#glmnet 0.65
## Final.Ensemble.auto.2##rcv#glmnet 0.65
## Ensemble.auto.1##rcv#glmnet 0.65
## RFE.X.Inc##rcv#bagEarth 0.60
## RFE.X##rcv#bagEarth 0.60
## RFE.X#zv.pca#rcv#glmnet 0.50
## All.X#nzv.spatialSign#rcv#glmnet 0.60
## All.X#spatialSign#rcv#glmnet 0.60
## RFE.X#nzv.spatialSign#rcv#glmnet 0.60
## All.X.Inc#nzv.spatialSign#rcv#glmnet 0.60
## RFE.X#spatialSign#rcv#glmnet 0.60
## All.X#nzv#rcv#glmnet 0.60
## RFE.X#nzv#rcv#glmnet 0.55
## All.X#expoTrans#rcv#glmnet 0.55
## RFE.X#expoTrans#rcv#glmnet 0.55
## All.X#YeoJohnson#rcv#glmnet 0.55
## RFE.X#YeoJohnson#rcv#glmnet 0.55
## RFE.X##rcv#rpart 0.50
## RFE.X##rcv#glmnet 0.55
## All.X#conditionalX#rcv#glmnet 0.55
## All.X##rcv#glmnet 0.55
## Low.cor.X##rcv#glmnet 0.55
## RFE.X#conditionalX#rcv#glmnet 0.55
## All.X#zv#rcv#glmnet 0.55
## RFE.X#zv#rcv#glmnet 0.55
## RFE.X#scale#rcv#glmnet 0.55
## RFE.X#center#rcv#glmnet 0.55
## All.X#scale#rcv#glmnet 0.55
## All.X#center#rcv#glmnet 0.55
## RFE.X#range#rcv#glmnet 0.55
## RFE.X#BoxCox#rcv#glmnet 0.55
## All.X#range#rcv#glmnet 0.55
## All.X#BoxCox#rcv#glmnet 0.55
## RFE.X#center.scale#rcv#glmnet 0.55
## All.X#center.scale#rcv#glmnet 0.55
## All.X#zv.pca#rcv#glmnet 0.50
## RFE.X##rcv#gbm 0.60
## Ensemble.auto.2##adaptive_cv#glmnet 0.70
## RFE.X#nzv.pca.spatialSign#rcv#glmnet 0.55
## Ensemble.auto.3##rcv#glmnet 0.55
## RFE.X##rcv#earth 0.60
## RFE.X##rcv#glm 0.65
## Ensemble.auto.2##cv#glmnet 0.60
## Ensemble.auto.2##LGOCV#glmnet 0.60
## Ensemble.auto.6##rcv#glmnet 0.60
## Ensemble.auto.8##rcv#glmnet 0.60
## Ensemble.auto.7##rcv#glmnet 0.60
## Ensemble.auto.9##rcv#glmnet 0.60
## Ensemble.auto.11##rcv#glmnet 0.60
## Ensemble.auto.12##rcv#glmnet 0.60
## Ensemble.auto.10##rcv#glmnet 0.60
## Ensemble.auto.13##rcv#glmnet 0.60
## Ensemble.auto.14##rcv#glmnet 0.60
## Ensemble.auto.15##rcv#glmnet 0.60
## Ensemble.auto.2##boot#glmnet 0.60
## Ensemble.auto.2##boot632#glmnet 0.60
## All.X##rcv#glm 0.65
## RFE.X##rcv#rf 0.65
## RFE.X##rcv#avNNet 0.65
## Ensemble.auto.4##rcv#glmnet 0.60
## RFE.X##rcv#nnet 0.65
## Ensemble.auto.5##rcv#glmnet 0.60
## RFE.X#ica#rcv#glmnet 0.55
## All.X#ica#rcv#glmnet 0.55
## Interact.High.cor.Y##rcv#glmnet 0.70
## Random###myrandom_classfr 0.55
## Max.cor.Y.rcv.1X1###glmnet 0.65
## Max.cor.Y##rcv#rpart 0.65
## MFO###myMFO_classfr 0.50
## Final.All.X#ica#rcv#glmnet NA
## Final.RFE.X.Inc##rcv#bagEarth NA## [1] "Ensemble.auto.2##rcv#glmnet OOB confusion matrix & accuracy: "
## Prediction
## Reference D R
## D 505 86
## R 373 151## err.abs.fit.sum err.abs.OOB.sum err.abs.trn.sum err.abs.new.sum
## Yes 158.8865 84.95637 260.8742 NA
## NA 799.4847 205.99749 1008.0114 NA
## No 836.2324 234.16301 1075.4652 NA
## .freqRatio.Fit .freqRatio.OOB .freqRatio.Tst .n.Fit .n.New.D .n.New.R
## Yes 0.1675275 0.1605381 0.1602011 746 223 NA
## NA 0.3920952 0.3928251 0.3929598 1746 535 12
## No 0.4403773 0.4466368 0.4468391 1961 380 242
## .n.OOB .n.Trn.D .n.Trn.R .n.Tst .n.fit .n.new .n.trn err.abs.OOB.mean
## Yes 179 742 183 223 746 223 925 0.4746166
## NA 438 1171 1013 547 1746 547 2184 0.4703139
## No 498 1038 1421 622 1961 622 2459 0.4702069
## err.abs.fit.mean err.abs.new.mean err.abs.trn.mean
## Yes 0.2129845 NA 0.2820261
## NA 0.4578950 NA 0.4615437
## No 0.4264316 NA 0.4373587
## err.abs.fit.sum err.abs.OOB.sum err.abs.trn.sum err.abs.new.sum
## 1794.603578 525.116866 2344.350754 NA
## .freqRatio.Fit .freqRatio.OOB .freqRatio.Tst .n.Fit
## 1.000000 1.000000 1.000000 4453.000000
## .n.New.D .n.New.R .n.OOB .n.Trn.D
## 1138.000000 NA 1115.000000 2951.000000
## .n.Trn.R .n.Tst .n.fit .n.new
## 2617.000000 1392.000000 4453.000000 1392.000000
## .n.trn err.abs.OOB.mean err.abs.fit.mean err.abs.new.mean
## 5568.000000 1.415137 1.097311 NA
## err.abs.trn.mean
## 1.180929## [1] "Features Importance for selected models:"## Ensemble.auto.2..rcv.glmnet.imp
## Party.fctr.RFE.X.Inc..rcv.bagEarth.prob 100## [1] "glbObsNew prediction stats:"##
## D R
## 1138 254## label step_major step_minor label_minor bgn end
## 5 predict.data.new 3 0 0 1778.673 1798.497
## 6 display.session.info 4 0 0 1798.498 NA
## elapsed
## 5 19.825
## 6 NANull Hypothesis (\(\sf{H_{0}}\)): mpg is not impacted by am_fctr.
The variance by am_fctr appears to be independent. #{r q1, cache=FALSE} # print(t.test(subset(cars_df, am_fctr == "automatic")$mpg, # subset(cars_df, am_fctr == "manual")$mpg, # var.equal=FALSE)$conf) # We reject the null hypothesis i.e. we have evidence to conclude that am_fctr impacts mpg (95% confidence). Manual transmission is better for miles per gallon versus automatic transmission.
## label step_major step_minor label_minor bgn end
## 3 fit.data.training 2 0 0 455.508 1668.861
## 1 fit.models_2 1 0 0 7.063 428.025
## 4 fit.data.training 2 1 1 1668.862 1778.672
## 2 fit.models 1 1 1 428.026 455.507
## 5 predict.data.new 3 0 0 1778.673 1798.497
## elapsed duration
## 3 1213.353 1213.353
## 1 420.962 420.962
## 4 109.810 109.810
## 2 27.482 27.481
## 5 19.825 19.824
## [1] "Total Elapsed Time: 1,798.497 secs"